Fraunhofer Institute for Algorithms and Scientific Computing SCAIPublications
105. Sarah Mubeen, Charles Tapley Hoyt, Andre Gemünd, Martin Hofmann-Apitius, Holger Fröhlich, Daniel Domingo-Fernandez (2019),
The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling, Frontiers in Genetics, 10: 1203, doi: 10.3389/fgene.2019.01203. (IF 3.5)
104. Gloria Bahamondez, Holger Fröhlich (2019),
MCMC Techniques for Parameters Estimation of ODE Based Models in Systems Biology, Frontiers in Applied Mathematics and Statistics (Section on Systems Biology), Vol 5, Article 55.
103. Johann de Jong, Mohammad Asif Emon, Ping Wu, Reagon Karki, Meemansa Sood, Patrice Godard, Ashar Ahmad, Henri Vrooman, Martin Hofmann-Apitius, Holger Fröhlich (2019),
Deep learning for clustering of multivariate clinical patient trajectories with missing values, Giga Science, Volume 8, Issue 11. (IF 4.7)
102. Amit Sharma, Holger Fröhlich, Rong Zhang, Anne-Karoline Ebert, Wolfgang Rösch, Henning Reis, Glen Kristiansen, Jörg Ellinger, Heiko Reutter (2019)
Classic bladder exstrophy and adenocarcinoma of the bladder: methylome analysis provide no evidence for underlying disease-mechanisms of this association, Cancer Genetics, https://doi.org/10.1016/j.cancergen.2019.05.004 (IF 2.1)
101. Thorsten Buch; Katharina Moos; Filipa M. Ferreira; Holger Fröhlich; Catherine Gebhard; Achim Tresch (2019),
Benefits of a factorial design focusing on inclusion of female and male animals in one experiment, Journal of Molecular Medicine, Volume 97, Issue 6, pp 871 – 877 (IF 4.7)
100. Amit Sharma, Tikam Chand Dakal, Michael Ludwig, Holger Fröhlich, Riya Mathur, Heiko Reutter (2018),
Towards a central role of ISL1 in the bladder exstrophy-epispadias complex (BEEC): computational characterization of genetic variants and structural modelling, Genes, 5: 9(12). pii: E609 (IF 3.2)
99. Heike Zabeck, Hendrik Dienemann, Hans Hoffmann, Joachim Pfannschmidt, Arne Warth, Philipp A. Schnabel, Thomas Muley, Michael Meister, Holger Sültmann, Holger Fröhlich, Ruprecht Kuner, Felix Lasitschka (2018),
Molecular signatures in IASLC/ATS/ERS classified growth patterns of lung adenocarcinoma, PLoS ONE, 13(10): e0206132. (IF 2.7)
98. Shashank Khanna, Daniel Domingo-Fernandez, Anandhi Iyappan, Mohammad Asif Emon, Martin Hofmann-Apitius, Holger Fröhlich (2018),
Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer's Disease and Reconstruction of Relevant Biological Mechanisms, Scientific Reports, 8, Article number: 11173. (IF 4.1)
97. Holger Fröhlich, Sabyasachi Patjoshi, Kristina Yeghiazaryan, Christina Kehrer, Walther Kuhn, Olga Golubnitschaja (2018),
Premenopausal breast cancer: potential clinical utility of a multi-omics based machine learning approach for patient stratification, EPMA Journal, 9(2):175-18 (IF 3.9)
96. Navin Sarin, Florian Engel, Florian Rothweiler, Jindrich Cinatl jr., Martin Michaelis, Roland Frötschl, Holger Fröhlich, Ganna V. Kalayda (2018),
Key players of cisplatin resistance: towards a systems pharmacology approach, International Journal of Molecular Sciences, 19(3): 767; doi.org/10.3390/ijms19030767 (IF 3.2)
95. Xiaoxiao Zhang, Holger Fröhlich, Dima Grigoriev, Sergey Vakulenko, Joerg Zimmermann, and Andreas Weber (2018),
A Simple 3-Parameter Model for Cancer Incidences, Scientific Reports, 8:3388, doi:10.1038/s41598-018-21734-x (IF 4.3)
94. Linda Batsa-Debrah, Anna Albers, Alexander Yaw Debrah, Felix F. Brockschmidt, Tim Becker, Christine Herold, Andrea Hofmann, Jubin Osei-Mensah, Yusif Mubarik, Holger Fröhlich, Achim Hoerauf, Kenneth Pfarr (2017),
Single Nucleotide Polymorphisms in the angiogenic and lymphangiogenic pathways are associated with lymphedema caused by Wuchereria bancrofti, Human Genomics, 11(1):26 (IF 3.3)
93. Thomas Gerlach, Chao Lu, Holger Fröhlich (2017),
Predicting Comorbidities of Epilepsy Patients Using Big Data from Electronic Health Records Combined With Biomedical Knowledge, PeerJ: Proceedings of the German Conference on Bioinformatics 2017, 5:e3228v1. (IF 2.8)
92. Ashar Ahmad, Holger Fröhlich (2017),
Towards Clinically More Relevant Dissection of Patient Heterogeneity via Survival based Bayesian Clustering, Bioinformatics, 33(22):3558 - 3566. (IF 7.3)
91. Satya Samal Swarup, Ovidiu Radulescu, Andreas Weber, Holger Fröhlich (2017),
Linking Metabolic Network Features to Phenotypes using Sparse Group Lasso, Bioinformatics, 33(21):3445 - 3453. (IF 7.3)
90. Amit Sharma, Oliver Kaut, Anna Pavlova, Holger Fröhlich, Ashar Ahmad, Ina Schmitt, Osman El-Maarri, Johannes Oldenburg, Ullrich Wüllner (2017),
Skewed X-chromosome inactivation and XIST locus methylation levels does not contribute to the lower prevalence of Parkinson's disease in females, Neurobiology of Aging, 248.e1-248.e5. (IF 5.2)
89. Benjamin Engelhardt, Maik Kschischo, Holger Fröhlich (2017),
A Bayesian Approach to Estimating Hidden Variables as well as Missing and Wrong Molecular Interactions in ODE Based Mathematical Models, Journal of the Royal Society Interface, 14(131). pii: 20170332, doi: 10.1098/rsif.2017.0332. (IF 3.8)
88. Holger Fröhlich, Kasper Claes, Catherine De Wolf, Xavier Van Damme, Anne Michel (2017),
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System, IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2017.2701204. (IF 2.5)
87. Martin Pirkl, Madeline Diekmann, Marlies van der Wees, Niko Beerenwinkel, Holger Fröhlich, Florian Markowetz (2017),
Inferring Modulators of Genetic Interactions with Epistatic Nested Effects Models, PLoS Comp Biol, 13(4): e1005496. (IF 4.6)
86. Sarin N, Engel F, Kalayda GV, Frötschl R, Cinatl J Jr, Rothweiler F, Michaelis M, Fröhlich H, Jaehde U. (2017),
Knowledge-based approach to identify key determinants of cisplatin sensitivity, Int J Clin Pharmacol Ther., 55: 8, DOI:10.5414/CPXCES15EA04 (IF 1.1)
85. B. Engelhardt, M. Kschischo, H. Fröhlich (2017)
Modeling and Mathematical Analysis of the M2-Receptor Dependent Joint Signaling and Secondary Messenger Network in CHO Cells, Mathematical Medicine & Biology, doi: 10.1093/imammb/dqx003. (IF 1.2)
84. Zahra Narimani, Hamid Beigy, Ashar Ahmad, Ali Masoudi-Nejad, Holger Fröhlich (2017),
Expectation Propagation for Large Scale Bayesian Inference of Non-Linear Molecular Networks from Perturbation Data, PLoS ONE, E 12(2): e0171240 (IF 3.1)
83. Jin Li, Tamara Riedt, Steven Goossens, Carmen Carrillo Garcia, Sabrina Szczepanski, Maria Brandes, Tim Pieters, Linne Dobrosch, Ines Gütgemann, Natalie Farla, Enrico Radaelli, Paco Hulpiau, Nikhil Mallela, Holger Fröhlich, Roberta La Starza, Caterina Matteucci, Tong Chen, Peter Brossart, Cristina Mecucci, Danny Huylebroeck, Jody J. Haigh, Viktor Janzen (2017),
The EMT transcription factor Zeb2 controls adult murine hematopoietic differentiation by regulating cytokine signaling, Blood, 129(4):460 - 472, 2017. (IF 11.8)
82. Ransmayr, Gerhard; Oehlwein, Christian; Will Edgar; Fröhlich Holger; Pesch Hanna; Lauterbach, Thomas; Timmermann, Lars; Bauer, Lars; Kassubek, Jan (2016),
Patients' perception of Parkinson's disease-associated pain following initiation of rotigotine: a multicenter non-interventional study, Postgraduate Medicine, 129(1):46-54. (IF 1.9)
81. Rainer Surges; Anita Kretschmann; Khalid Abnaof; Marijke van Rikxoort; Kirsten Ridder; Holger Fröhlich; Benedicte Danis; Rafal Kaminski; Patrik Foerch; Christian Elger; Frank Weinsberg; Alexander Pfeifer (2016),
Changes in serum miRNAs following generalized convulsive seizures in human mesial temporal lobe epilepsy, Biochemical and Biophysical Research Communications, 481(1-2): 13 - 18. (IF 2.4)
80. Oliver Kaut, Ina Schmitt, Jörg Tost, Florence Busato, Yi Liu, Per Hofmann, Stephanie H. Witt, Marcella Rietschel, Holger Fröhlich, Ullrich Wüllner (2016),
Epigenome-wide DNA methylation analysis in siblings and monozygotic twins discordant for sporadic Parkinson's disease revealed different epigenetic patterns in peripheral blood mononuclear cells, Neurogenetics, DOI 10.1007/s10048-016-0497-x, 1364-6753: 1-16. (IF 3.4)
79. Paurush Praveen, Helen Hülsmann, Holger Sültmann, Ruprecht Kuner, Holger Fröhlich (2016),
Cross-talk between AMPK and EGFR dependent Signaling in Non-Small Cell Lung Cancer, Scientific Reports, 6, 27514. (IF 5.6)
78. Hisham Saafan, Sarah Foerster, Zinnia P Parra-Guillen, Elke Hammer, Martin Michaelis, Jindrich Cinatl Jr., Uwe Völker, Holger Fröhlich, Charlotte Kloft, Christoph A. Ritter (2016),
Utilising the EGFR interactome to identify mechanisms of drug resistance in non-small cell lung cancer - proof of concept towards a systems pharmacology approach, European Journal of Pharmaceutical Sciences, pii: S0928-0987(16)30131-2. (IF 3.8)
77. Yong Chen, Joschka Buyel, Mark Hanssen, Franziska Siegel, Ruping Pan, Michael Schell, Anouk van der Lans, Christian Schlein, Holger Fröhlich, Joerg Heeren, Wouter van Marken Lichtenbelt, Alexander Pfeifer, Jennifer Naumann, Kirsi Virtanen (2016),
Exosomal MicroRNA MiR-92a Concentration in Serum Reflects Human Brown Fat Activity, Nature Communications, 7:11420. (IF 11.3)
76. Genevera I Allen, Nicola Amoroso, Catalina Anghel, Venkat Balagurusamy, Christopher J Bare, Derek Beaton, Roberto Bellotti, David A Bennett, Kevin Boehme, Paul C Boutros, Laura Caberlotto, Cristian Caloian, Frederick Campbell, Elias Chaibub Neto, Yu-Chuan Chang, Beibei Chen, Chien-Yu Chen, Ting-Ying Chien, Tim Clark, Sudeshna Das, Christos Davatzikos, Jieyao Deng, Donna Dillenberger, Richard JB Dobson, Qilin Dong, Jimit Doshi, Denise Duma, Rosangela Errico, Guray Erus, Evan Everett, David W Fardo, Stephen H Friend, Holger Fröhlich, Jessica Gan, Peter St George-Hyslop, Satrajit S Ghosh, Enrico Glaab, Robert C Green, Yuanfang Guan, Ming-Yi Hong, Chao Huang, Jinseub Hwang, Joseph Ibrahim, Paolo Inglese, Qijia Jiang, Yuriko Katsumata, John SK Kauwe, Arno Klein, Dehan Kong, Roland Krause, Emilie Lalonde, Mario Lauria, Eunjee Lee, Xihui Lin, Zhandong Liu, Julie Livingstone, Benjamin A Logsdon, Simon Lovestone, Anandhi Lyappan, Michelle Ma, Ashutosh Malhotra, Lara M Mangravite, Taylor J Maxwel, Emily Merrill, John Nagorski, Aishwarya Namasivayam, Manjari Narayan, Mufassra Naz, Stephen J Newhouse, Thea C Norman, Ramil N Nurtdinov, Yen-Jen Oyang, Yudi Pawitan, Shengwen Peng, Mette A Peters, Stephen R Piccolo, Paurush Praveen, Corrado Priami, Veronica Y Sabelnykova, Philipp Senger, Xia Shen, Andrew Simmons, Aristeidis Sotiras, Gustavo Stolovitzky, Sabina Tangaro, Andrea Tateo, Yi-An Tung, Nicholas J Tustison, Erdem Varol, George Vradenburg, Michael W Weiner, Guanghua Xiao, Lei Xie, Yang Xie, Jia Xu, Hojin Yang, Xiaowei Zhan, Yunyun Zhou, Fan Zhu, Hongtu Zhu, Shanfeng Zhu, Alzheimer's Disease Neuroimaging Initiative (2016),
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease, Alzheimer's and Dementia, 12(6):645-53. (IF 11.6)
75. Benjamin Engelhardt, Holger Fröhlich, Maik Kschischo (2016),
Learning (from) the errors of a systems biology model, Scientific Reports, 6, 20772. (IF 5.6)
74. Holger Fröhlich, Johannes Oldenburg, Joachim Woelfle, and Osman El-Maarri (2015),
DNA methylation signature in peripheral blood reveals distinct characteristics of human X chromosome numerical aberrations, Clinical Epigenetics, 7(1):76. (IF 6.2)
73. Holger Fröhlich, Gloria Bahamondez, Frank Götschel, Ulrike Korf (2015),
Dynamic Bayesian Network Modeling of the Interplay between EGFR and Hedgehog Signaling, PLoS ONE, 10(11):e0142646 (IF 3.2)
72. Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich, Andreas Weber, Ovidiu Radulescu (2015),
A Geometric Method for Model Reduction of Biochemical Networks with Polynomial Rate Functions, Bulletin of Mathematical Biology, 1 – 32 (IF 1.4)
71. Holger Fröhlich (2015),
biRte: Bayesian Inference of Context Specific Regulator Activities and Transcriptional Networks, Bioinformatics, 31(20):3290-8 (IF 5)
70. Ina Schmitt, Oliver Kaut, Hassan Khazneh, Laura Boni, Ashar Ahmad, Daniela Berg, Christine Klein, Holger Fröhlich, Ulrich Wüllner (2015),
L-DOPA treatment increases alpha-synuclein DNA methylation in PD patients in vivo and in vitro, Movement Disorders, 30(13): 1794 – 1801 (IF 5.7)
69. Satya Swarup Samal, Dima Grigoriev, Holger Fröhlich, Ovidiu Radulescu (2015),
Analysis of Reaction Network Systems using Tropical Geometry, Computer Algebra in Scientific Computing, Volume 9301 of the series Lecture Notes in Computer Science, pp 424-439.
68. Nicole Nüsgen, Wolfgang Goering, Albertas Dauksa, Arijit Biswas, Muhammad Ahmer Jamil, Ioanna Dimitriou, Amit Sharma, Heike Singer, Rolf Fimmers, Holger Fröhlich, Johannes Oldenburg, Antanas Gulbinas, Wolfgang A Schulz, Osman El-Maarri (2015),
Inter-locus as well as intra-locus heterogeneity in LINE-1 promoter methylation in common human cancers suggests selective demethylation pressure at specific CpGs, Clinical Epigenetics, 7:17 (IF 6.2)
67. J. Siegbourg-Polster, D. Mudrak, M. Emmenlauer, P. Rämö, C. Dehio, U. Greber, H. Fröhlich, N. Beerenwinkel (2015),
NEMix: Single-cell Nested Effects Models for Probabilistic Pathway Stimulation, PLoS Comp. Biol., 11(4):e1004078 (IF 4.8).
66. Anita Kretschmann, Benedicte Danis, Lidija Andonovic, Khalid Abnaof, Marijke van Rikxoort, Franziska Siegel, Manuela Mazzuferi, Patrice Godard, Etienne Hanon, Holger Fröhlich, Rafal M. Kaminski, Patrik Foerch, Alexander Pfeifer (2015),
Different microRNA profiles in chronic epilepsy versus acute seizure mouse models, J Mol Neuroscience , 55(2):466-79 (IF 2.8, awarded with Neuroallianz Silver Medal)
65. Udo Holtick, Lukas P. Frenzel, Alexander Shimabukuro-Vornhagen, Sebastian Theurich, Julia Claasen, Christof Scheid, Michael von Bergwelt Baildon, Holger Fröhlich, Clemens M. Wendtner, Jens M. Chemnitz (2015),
CD4+ T-cell counts reflect the immunosuppressive state of CD4 helper cells in patients after allogeneic stem cell transplantation, Annals of Hematolgy, 94(1):129-37 (IF 2.9)
64. Sukanya Horpaopan, Isabel Spier, Alexander M. Zink, Janine Altmüller, Stefanie Vogt, Andreas Laner, Siegfried Uhlhaas, Stefanie Heilmann, Dielinde Stienen, Sandra Pasternack, Peter Propping, Markus Draaken, Holger Thiele, Franziska Degenhardt, Hartmut Engels, Andrea Hofmann, Markus Nöthen, Stefan Herms, Elke Holinski-Feder, Holger Fröhlich, Per Hoffmann, Stefan Aretz (2015),
Genome-wide CNV analysis in 221 unrelated patients and targeted high-throughput sequencing reveal novel causative candidate genes for colorectal adenomatous polyposis, Int. Journal of Cancer, 136(6):E578-89 (IF 5)
63. Sarah Kim, Jessica Becker, Matthias Bechheim, Vera Kaiser, Mahdad Noursadeghi, Nadine Fricker, Esther Beier, Sven Klaschik, Peter Boor, Timo Hess, Andrea Hofmann, Stefan Holdenrieder, Jens Wendland, Holger Fröhlich, Gunther Hartmann, Markus Nöthen, Bertram Müller-Myhsok, Benno Pütz, Veit Hornung, and Johannes Schumacher (2014),
Characterizing the genetic basis of innate immune response in TLR4-activated human monocytes, Nature Communications, 5:5236 (IF 10.7).
62. Natalie Haas, Tamara Riedt, Kevin Bassler, Deena Gergis, Holger Fröhlich, Ines Gütgemann, Viktor Janzen, Hubert Schorle (2014),
Kit transduced signals counteract erythroid maturation by MAPK-dependent modulation of erythropoietin signaling and apoptosis induction in mouse fetal liver, Cell Death and Differentiation, 22: 790 - 800 (IF 8.3)
61. Helen J. Hülsmann, Jana Rolff, Christian Bender, Mostafa Jarahian, Ulrike Korf, Ralf Herwig, Holger Fröhlich, Michael Thomas, Johannes Merk, Iduna Fichtner, Holger Sültmann, Ruprecht Kuner (2014),
Activation of AMP-activated protein kinase sensitizes lung cancer cells and H1299 xenografts to erlotinib Lung Cancer,Lung Cancer, pii: S0169-5002(14)00368-7 (IF 3.7)
60. Khalid Abnaof, Nikhil Mallela, Gudrun Walenda, Steffen Meurer, Kristin Sere, Qiong Lin, Bert Smeets, Kurt Hoffmann, Wolfgang Wagner, Martin Zenke, Ralf Weiskirchen, Holger Fröhlich (2014),
TGF-beta Stimulation in Human and Murine Cells Reveals Commonly Affected Biological Processes and Pathways at Transcription Level, BMC Systems Biology, 8:55 (IF 3)
59. B. Haenisch, H. Fröhlich, S. Herms, G. Molderings (2014),
Evidence for contribution of epigenetic mechanisms in the pathogenesis of systemic mast cell activation disease, Immunogenetics, 66(5):287 - 297 (IF 3)
58. Y. Cun, H. Fröhlich (2014),
netClass: An R-package for network based, integrative biomarker signature discovery, Bioinformatics, 30(9):1325 - 1326 (IF 5)
57. Robert M Mader, Sarah Foerster, Navin Sarin, Martin Michaelis, Jindrich Cinatl Jr, Charlotte Kloft, Holger Fröhlich, Florian Engel, Ganna V Kalayda, Walter Jäger, Roland Frötschl, Ulrich Jaehde, Christoph A Ritter (2014),
NSCLC cells adapted to EGFR inhibition accumulate EGFR interacting proteins and down-regulate microRNA related to epithelial-mesenchymal transition, International journal of clinical pharmacology and therapeutics, 52(1):92 - 94 (IF 1.2).
56. H. Fröhlich (2014),
Including Network Knowledge Into Cox Regression Models for Biomarker Signature Discovery, Biometrical Journal, 56(2):287 - 306 (IF 1.2)
55. G. Walenda, K. Abnaof, S. Joussen, S. Meurer, B. Smeerts, B. Rath, K. Hoffmann, H. Fröhlich, R. Weiskirchen, M. Zenke, W. Wagner (2013),
TGF-beta1 Does not Induce Senescence of Mesenchymal Stromal Cells and has Similar Effects in Early and Late Passages, PLoS ONE, 8(10): e77656. (IF 3.7)
54. H. Failmezger, H. Fröhlich, A. Tresch (2013),
Unsupervised automated high throughput phenotyping of RNAi time-lapse movies, BMC Bioinformatics, 14:292 (IF 3).
53. M. Nokhbehsaim, S. Eick, A. Vilas Boas Nogueira, P. Hoffmann, S. Herms, H. Fröhlich, S. Bruun Jepsen, A. Jäger, J. A. Cirelli, J. Deschner (2013),
Stimulation of MMP-1 and CCL2 by NAMPT in PDL Cells, Mediators of Inflammation, vol 2013, Article ID 437123. (IF 3.9)
52. Y. Cun, H. Fröhlich (2013),
Network and Data Integration for Biomarker Signature Discovery via Network Smoothed T-Statistics, PLoS ONE, 8(9):e73074. (IF 3.7)
51. H. Fröhlich,G. Klau (2013),
Reconstructing Consensus Bayesian Network Structures with Application to Learning Molecular Interaction Networks, Open Access Series in Informatics, Proc. German Conf. on Bioinformatics 2013,pp. 43 - 52.
50. P. Praveen, H. Fröhlich (2013),
Boosting Probabilistic Graphical Model Inference by Incorporating Prior Knowledge from Multiple Sources, PLoS ONE, 2013, 8 (6), e67410. (IF 3.7)
49. H. Failmezger, P. Praveen, A. Tresch, H. Fröhlich (2013),
Learning Gene Network Structure from Time Laps Cell Imaging in RNAi Knock-Downs, Bioinformatics, 29(12):1534-40. (IF 5.3)
48. A. Sadeghi, H. Fröhlich (2013),
Steiner Tree Methods for Optimal Sub-Network Identification: an Empirical Study, BMC Bioinformatics, 14:144. (IF 3)
47. Y. Chen, F. Siegel, S. Kipschull, B. Haas, H. Fröhlich, G. Meister, A. Pfeifer (2013),
miR-155 regulates differentiation of brown and beige adipocytes via a bistable circuit, Nature Communications, 4(1769). (IF 10)
46. M. Ahmadi, M. Vogt, P. Iyer, J. Bajorath, H. Fröhlich (2013),
Predicting Potent Compounds via Model-Based Global Optimization, Journal of Chemical Information and Modeling, 53 (3), 553 - 559. (IF 4.3)
45. T. Niederberger, S. Etzold, M. Lidschreiber, K. C. Maier, D. E. Martin, H. Fröhlich, P. Cramer, A. Tresch (2012),
MC EMiNEM Maps the Interaction Landscape of the Mediator, PLoS Comp. Biol., 8(6): e1002568. (IF 4.9)
44. B. Zacher, K. Abnaof, S. Gade, E. Younesi, A. Tresch, H. Fröhlich (2012),
Joint Bayesian Inference of Condition Specific miRNA and Transcription Factor Activities from Combined Gene and microRNA Expression Data, Bioinformatics, 28 (13): 1714-1720. (IF 5.3)
43. Haupt A, Joberty G, Bantscheff M, Fröhlich H, Stehr H, Schweiger MR, Fischer A, Kerick M, Boerno ST, Dahl A, Lappe M, Lehrach H, Gonzalez C, Drewes G, Lange BM (2012),
Hsp90 inhibition differentially destabilises MAP kinase and TGF-beta signalling components in cancer cells revealed by kinase-targeted chemoproteomics, BMC Cancer, 12:38. (IF 3.3)
42. Y. Cun, H. Fröhlich (2012),
Prognostic Gene Signatures for Patient Stratification in Breast Cancer - Accuracy, Stability and Interpretability of Gene Selection Approaches Using Prior Knowledge on Protein-Protein Interactions, BMC Bioinformatics, 13:69 (IF 3)
41. F. Brockschmidt, S. Heilmann, J. Ellis, S. Eigelshoven S. Hanneken, C. Herold, S. Moebus, M. Alblas, B. Lippke, N. Kluck, L. Priebe, F. Degenhardt, R. Jamra, C. Meesters, K.-H. Jöckel, R. Erbel, S. Harrap, J. Schumacher, H. Fröhlich, R. Kruse, A. Hillmer, T. Becker, M. Nöthen (2011),
Susceptibility variants on chromosome 7p21.1 suggest HDAC9 as a new candidate gene for male-pattern baldness, British Journal of Dermatology, 165(6):1293-302. (IF 3.7)
40. H. Fröhlich (2011),
Network Based Consensus Signatures for Biomarker Discovery in Breast Cancer, PLoS ONE, 6(10): e25364. (IF 4.1)
39. H. Fröhlich, P. Praveen, A. Tresch (2011),
Fast and Efficient Dynamic Nested Effects Models, Bioinformatics, 27, 238-244. (IF: 5.5)
38. M. Johannes, H. Fröhlich, H. Sültmann, T. Beißbarth (2011),
pathClass: An R-Package for Integration of Pathway Knowledge into Support Vector Machines for Biomarker Discovery, Bioinformatics, 27, 1442- 1443. (IF 5.5)
37. M. Johannes, J. Brase, H. Fröhlich, S. Gade, M. Gehrmann, M. Faelth, H. Sültmann, T. Beißbarth (2010),
Integration Of Pathway Knowledge Into A Reweighted Recursive Feature Elimination Approach For Risk Stratification Of Cancer Patients, Bioinformatics, 26(17), 2136 - 2144. (IF: 4.9)
36. C. Bender, F. Henjes, H. Fröhlich, S. Wiemann, U. Korf, T. Beißbarth (2010),
Dynamic Deterministic Effect Propagation Networks: learning signalling pathways from longitudinal protein array data, Bioinformatics, 26(18), i596 - i692. (IF: 4.9)
35. J. Brase, H. Mannsperger, H. Fröhlich, S. Gade, C. Schmidt, T. Beißbarth, T. Schlomm, H. Sültmann, U. Korf (2010),
Increasing the sensitivity of reverse phase protein arrays by antibody-mediated signal amplification, Proteome Science, 8(36). (IF 2.5)
34. H. Fröhlich, Ö. Sahin, D. Arlt, C. Bender and T. Beissbarth (2009),
Deterministic Effects Propagation Networks for Reconstructing Protein Signaling Networks from Multiple Interventions, BMC Bioinformatics, 10:322. (IF 3.4)
33. H. Fröhlich, A. Tresch, T. Beißbarth (2009),
Nested Effects Models for Learning Signaling Networks from Perturbation Data, Biometrical Journal, 2(51):304 - 323. (IF 1.2)
32. Ö. Sahin, H. Fröhlich, C. Löbke, U. Korf, S. Burmester, M. Majety, J. Mattern, I. Schupp, C. Chaouiya, D. Thieffry, A. Poustka, S. Wiemann, T. Beißbarth, D. Arlt (2009),
Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance, BMC Systems Biology, 3:1. (IF 4.1)
31. C. Bender, H. Fröhlich, M. Johannes, T. Beißbarth (2008),
Extending pathways with inferred regulatory interactions from microarray data and protein domain signatures, Critical Assessment of Microarray Data Analysis (Proc.), 48 – 52.
30. C. Zeller, H. Fröhlich, A. Tresch (2008),
A Bayesian Network View on Nested Effects Models, EURASIP Journal on Bioinformatics and Systems Biology, 1.
29. H. Fröhlich, T. Beißbarth, A. Tresch, D. Kostka, J. Jacob, R. Spang, F. Markowetz (2008),
Analyzing Gene Perturbation Screens With Nested Effects Models in R and Bioconductor, Bioinformatics, 24(21):2549-2050. (IF 4.3, 23 citations)
28. H. Fröhlich, M. Fellmann, H. Sültmann, A. Poustka, T. Beißbarth (2008),
Predicting Pathway Membership via Domain Signatures, Bioinformatics, 24:2137-2142. (IF 4.3)
27. D. Bullinger, H. Fröhlich, F. Klaus, H. Neubauer, A. Frickenschmidt, C. Henneges, A. Zell, S. Laufer, C. Gleiter, H. Liebich, B. Kammerer (2008),
Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer, Analytica Chimica Acta, 618(1):29 - 34. (IF 3.2)
26. A. Frickenschmidt, H. Fröhlich, D. Bullinger, A. Zell, S. Laufer, C. Gleiter, H. Liebich, B. Kammerer (2008),
Metabonomics in cancer diagnosis: Mass spectrometry based profiling of urinary nucleosides from breast cancer patients, Biomarkers, 13(4):435 - 449, 2008. (IF 1.7)
25. H. Fröhlich, M. Fellmann, H. Sültmann, A. Poustka, T. Beißbarth (2008),
Estimating Large Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data, Bioinformatics, 24:2650-2656. (IF 4.3)
24. H. Fröhlich, M. Fellmann, H. Sültmann, A. Poustka, T. Beißbarth (2007),
Large Scale Statistical Inference of Signaling Pathways from RNAi and Microarray Data, BMC Bioinformatics, 8:386. (IF 3.5)
23. H. Fröhlich, A. Hoenselaar, J. Eichner, H. Rosenbrock, G. Birk, A. Zell (2007),
Automated Classification of the Behavior of Rats in the Forced Swimming Test with Support Vector Machines, Neural Networks, 21(1):92 – 101. (IF 2)
22. H. Fröhlich, M. Fellmann, H. Sültmann, A. Poustka, T. Beißbarth (2007),
Estimating Large Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data, Proc. German Conf. Bioinformatics (GCB), pp. 45 – 54.
21. H. Fröhlich, N. Speer, A. Poustka, T. Beißbarth (2007),
GOSim - An R-Package for Computation of Information Theoretic GO Similarities Between Terms and Gene Products, BMC Bioinformatics, 8:166. (IF 3.5)
20. J. Supper, H. Fröhlich, A. Zell (2007),
Gene Regulatory Network Inference via Regression Based Topological Refinement, Series on Adv. in Bioinformatics and Comp. Biol., 5:267 – 276.
19. J. Supper, H. Fröhlich, C. Spieth, A. Dräger, A. Zell (2007),
Infering Gene Regulatory Networks by Machine Learning Methods, Series on Adv. in Bioinformatics and Comp. Biol., 5:247 - 256.
18. H. Fröhlich, J. Wegner, F. Sieker, A. Zell (2006),
Kernel Functions for Attributed Molecular Graphs - A New Similarity Based Approach To ADME Prediction in Classification and Regression, Molecular Informatics, 25(4):317 - 326. (IF 2)
17. J. Wegner, H. Fröhlich, H. Mielenz, A. Zell (2006),
Data and Graph Mining in Chemical Space for ADME and Activity Data Sets, Molecular Informatics, 2 (3):205 - 220. (IF 2)
16. C. Weiss, H. Fröhlich and A. Zell (2006),
Vibration-based Terrain Classification Using Support Vector Machines, Proc. IEEE/RSJ Int. Conf. Intel. Robots and Systems (IROS 2006), pp. 4429 - 4434.
15. H. Fröhlich, N. Speer, C. Spieth, and A. Zell (2006),
Kernel Based Functional Gene Grouping, Proc. Int. Joint. Conf. On Neural Networks (IJCNN), pp. 6886 - 6891.
14. N. Speer, H. Fröhlich, C. Spieth, A. Zell (2005),
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering, Proc. Symp. on Comp. Int. in Bioinformatics and Comp. Biology (CIBCB), pp. 142 - 149.
13. H. Fröhlich, J. Wegner, F. Sieker, A. Zell (2005),
Optimal Assignment Kernels for Attributed Molecular Graphs, Proc. Int. Conf. on Machine Learning (ICML), pp. 225 - 232.
12. H. Fröhlich, B. Naundorf, M. Volgushev, F. Wolf (2005),
Which Features Trigger Action Potentials in Cortical Neurons in Vivo?, Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp. 250 - 255.
11. N. Speer, H. Fröhlich, A. Zell (2005),
Functional Grouping of Genes Using Spectral Clustering and Gene Ontology, Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp. 298 - 303.
10. H. Fröhlich, J. Wegner, A. Zell (2005),
Assignment Kernels For Chemical Compounds, Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp. 913 - 918.
9. H. Fröhlich, A. Zell (2005),
Efficient Parameter Selection for Support Vector Machines in Classification and Regression via Model-Based Global Optimization, Proc. Int. Joint Conf. on Neural Networks (IJCNN), pp. 1431 - 1438.
8. H. Fröhlich, J. Wegner, A. Zell (2004),
Towards Optimal Descriptor Subset Selection with Support Vector Machines in Classification and Regression, QSAR & Combinatorial Science, 23:311 - 318. (IF 2)
7. J. Wegner, H. Fröhlich, A. Zell (2004),
Feature Selection for Descriptor based Classification Models: 1. Theory and GA-SEC Algorithm, Journal of Chemical Information and Computer Science, 44:921 - 930. (IF 2.8)
6. J. Wegner, H. Fröhlich, A. Zell (2004),
Feature Selection for Descriptor based Classification Models: 2. Human Intestinal Absorption (HIA), Journal of Chemical Information and Computer Science, 44:931 - 939. (IF 2.8)
5. H. Fröhlich, O. Chapelle, B. Schölkopf (2004),
Feature Selection for Support Vector Machines using Genetic Algorithms, International Journal on Artificial Intelligence, Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003, 13(4):791 - 800. (IF 0.2)
4. H. Fröhlich, A. Zell (2004),
Feature Subset Selection for Support Vector Machines by Incremental Regularized Risk Minimization, International Joint Conference on Neural Networks (IJCNN), 3:2041 - 2046.
3. A. Lilienthal, H. Ulmer, H. Fröhlich, A. Stützle, F. Werner, A. Zell (2004),
Learning to Detect Proximity to a Gas Source with a Mobile Robot, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1444 - 1449.
2. A. Lilienthal, H. Ulmer, H. Fröhlich, A. Stützle, F. Werner, A. Zell (2004),
Gas Source Declaration with a Mobile Robot, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 1430 - 1435.
1. H. Fröhlich, O. Chapelle, B. Schölkopf (2003),
Feature Selection for Support Vector Machines by Means of Genetic Algorithms, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 142 - 148.
Review and Opinion Papers
4. Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, Oliver Kohlbacher, Santosh Kumar, Thomas Lengauer, Marloes H. Maathuis, Yves Moreau, Susan A. Murphy, Teresa M. Przytycka, Michael Rebhan, Hannes Röst, Andreas Schuppert, Matthias Schwab, Rainer Spang, Daniel Stekhoven, Jimeng Sun, Andreas Weber, Daniel Ziemek, Blaz Zupan (2018),
From Hype to Reality: Data Science enabling Personalized Medicine, BMC Medicine, 16(1):150 (IF 9.1)
3. Amit Sharma, Marta M. Stei, Holger Fröhlich, Frank G. Holz, Karin U. Loeffler, Martina C. Herwig Carl (2017),
Genetic and Epigenetic Insights into Uveal Melanoma, Clinical Genetics, doi: 10.1111/cge.13136 (IF 3.3)
2. Ashar Ahmad, Holger Fröhlich (2016),
Integrating Heterogenous Omics Data via Statistical Inference and Learning Techniques, Genomics and Computational Biology, 2(1):e32.
1. Y. Cun, H. Fröhlich (2012),
Biomarker Gene Signature Discovery Integrating Network Knowledge, Biology, 1(1):5 – 17.
Books and Book Chapters
H. Fröhlich (2011),
Optimal Assignment Kernels for ADME in Silico Prediction, In: Huma Lodhi, Yoshihiro Yamanishi (editors), Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques, IGI Book Series: Advances in Chemoinformatics and Computational Methods, IGI Global, Hershey, PA (USA).
H. Fröhlich (2006), Kernel Methods in Chemo- and Bioinformatics, Logos Verlag Berlin
1 H-index, i10-index and citations according to Google Scholar on 23 Mar 2020. IFs according to ISI web of science in year of publication or latest available one. All journal IFs were rounded to one decimal. The cumulative IF was rounded to the closest integer.