| Feature selection for support vector machines by means of genetic algorithm H Frohlich, O Chapelle, B Scholkopf Proceedings. 15th IEEE International Conference on Tools with Artificial …, 2003 | 323* | 2003 |
| miR-155 regulates differentiation of brown and beige adipocytes via a bistable circuit Y Chen, F Siegel, S Kipschull, B Haas, H Fröhlich, G Meister, A Pfeifer Nature communications 4 (1), 1769, 2013 | 289 | 2013 |
| From hype to reality: data science enabling personalized medicine H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ... BMC medicine 16 (1), 1-15, 2018 | 287 | 2018 |
| Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance Ö Sahin, H Fröhlich, C Löbke, U Korf, S Burmester, M Majety, J Mattern, ... BMC systems biology 3 (1), 1-20, 2009 | 235 | 2009 |
| GOSim–an R-package for computation of information theoretic GO similarities between terms and gene products H Fröhlich, N Speer, A Poustka, T Beißbarth BMC bioinformatics 8 (1), 1-8, 2007 | 231 | 2007 |
| Optimal assignment kernels for attributed molecular graphs H Fröhlich, JK Wegner, F Sieker, A Zell Proceedings of the 22nd international conference on Machine learning, 225-232, 2005 | 200 | 2005 |
| Vibration-based terrain classification using support vector machines C Weiss, H Frohlich, A Zell 2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006 | 194 | 2006 |
| Feature Selection for Support Vector Machines by Means of Genetic Algorithms. H Fröhlich, O Chapelle, B Schölkopf ICTAI 3, 142, 2003 | 158 | 2003 |
| Exosomal microRNA miR-92a concentration in serum reflects human brown fat activity Y Chen, JJ Buyel, MJW Hanssen, F Siegel, R Pan, J Naumann, M Schell, ... Nature communications 7 (1), 11420, 2016 | 152 | 2016 |
| Efficient parameter selection for support vector machines in classification and regression via model-based global optimization H Frohlich, A Zell Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 144 | 2005 |
| Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients M Johannes, JC Brase, H Fröhlich, S Gade, M Gehrmann, M Fälth, ... Bioinformatics 26 (17), 2136-2144, 2010 | 105 | 2010 |
| Metabonomics in cancer diagnosis: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients A Frickenschmidt, H Fröhlich, D Bullinger, A Zell, S Laufer, CH Gleiter, ... Biomarkers 13 (4), 435-449, 2008 | 98 | 2008 |
| L‐dopa increases α‐synuclein DNA methylation in Parkinson's disease patients in vivo and in vitro I Schmitt, O Kaut, H Khazneh, L deBoni, A Ahmad, D Berg, C Klein, ... Movement Disorders 30 (13), 1794-1801, 2015 | 95 | 2015 |
| Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653, 2016 | 82 | 2016 |
| Characterizing the genetic basis of innate immune response in TLR4-activated human monocytes S Kim, J Becker, M Bechheim, V Kaiser, M Noursadeghi, N Fricker, ... Nature communications 5 (1), 5236, 2014 | 76 | 2014 |
| Network and data integration for biomarker signature discovery via network smoothed t-statistics Y Cun, H Fröhlich PloS one 8 (9), e73074, 2013 | 76 | 2013 |
| Kernel Functions for Attributed Molecular Graphs–A New Similarity‐Based Approach to ADME Prediction in Classification and Regression H Fröhlich, JK Wegner, F Sieker, A Zell QSAR & Combinatorial Science 25 (4), 317-326, 2006 | 75 | 2006 |
| Different microRNA profiles in chronic epilepsy versus acute seizure mouse models A Kretschmann, B Danis, L Andonovic, K Abnaof, M van Rikxoort, F Siegel, ... Journal of molecular neuroscience 55, 466-479, 2015 | 73 | 2015 |
| Feature selection for descriptor based classification models. 2. Human intestinal absorption (HIA) JK Wegner, H Fröhlich, A Zell Journal of chemical information and computer sciences 44 (3), 931-939, 2004 | 72 | 2004 |
| DNA methylation signature in peripheral blood reveals distinct characteristics of human X chromosome numerical aberrations A Sharma, MA Jamil, N Nuesgen, F Schreiner, L Priebe, P Hoffmann, ... Clinical epigenetics 7 (1), 1-15, 2015 | 70 | 2015 |
Andreas ZellProfessor für Informatik, Universität TübingenVerified email at uni-tuebingen.de
