Holger Fröhlich
Holger Fröhlich
Head of AI & Data Science Group & Deputy Head of Department of Bioinformatics at Fraunhofer SCAI
Verified email at bit.uni-bonn.de - Homepage
Cited by
Cited by
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
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, 2009
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), 1-13, 2013
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
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
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
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
From hype to reality: data science enabling personalized medicine
H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ...
BMC medicine 16 (1), 150, 2018
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), 1-9, 2016
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
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
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
Large scale statistical inference of signaling pathways from RNAi and microarray data
H Fröhlich, M Fellmann, H Sültmann, A Poustka, T Beißbarth
BMC bioinformatics 8 (1), 386, 2007
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
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
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 (2), 466-479, 2015
Feature selection for descriptor based classification models. 1. Theory and GA-SEC algorithm
JK Wegner, H Fröhlich, A Zell
Journal of chemical information and computer sciences 44 (3), 921-930, 2004
Gas source declaration with a mobile robot
A Lilienthal, H Ulmer, H Frohlich, A Stutzle, F Werner, A Zell
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
Susceptibility variants on chromosome 7p21.1 suggest HDAC9 as a new candidate gene for male‐pattern baldness
FF Brockschmidt, S Heilmann, JA Ellis, S Eigelshoven, S Hanneken, ...
British Journal of Dermatology 165 (6), 1293-1302, 2011
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, 5236, 2014
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