Gunnar Rätsch

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Sebastian MikaVerified email at sebastianmika.info
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Andre KahlesDepartment of Computer Science, ETH Zurich, SwitzerlandVerified email at inf.ethz.ch
Alex SmolaBoson AIVerified email at smola.org
Georg ZellerEMBL, HeidelbergVerified email at embl.de
Jonas BehrSOPHiA GENETICS, St.-Sulpice, SwitzerlandVerified email at sophiagenetics.com
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Detlef WeigelMax Planck Institute for Biology TübingenVerified email at weigelworld.org
Christian WidmerGoogleVerified email at google.com
Philipp Drewe-BossMax Delbrück Center for Molecular MedicineVerified email at mdc-berlin.de
Vipin T. SreedharanPhD student at Memorial Sloan Kettering Cancer Center/ University of TübingenVerified email at cbio.mskcc.org
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergVerified email at dkfz.de
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyVerified email at dundee.ac.uk
Stephanie L HylandMicrosoft Research CambridgeVerified email at microsoft.com
Géraldine JeanAssociate Professor, Université of Nantes, LS2NVerified email at univ-nantes.fr
Hans-Guido WendelMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org

Gunnar Rätsch

Professor, ETH Zürich

Verified email at inf.ethz.ch - Homepage

Machine Learning Computational Biology Genetics Cancer Health Informatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An introduction to kernel-based learning algorithms KR Muller, S Mika, G Rätsch, K Tsuda, B Scholkopf IEEE transactions on neural networks 12 (2), 181-201, 2001	5022*	2001
Fisher discriminant analysis with kernels S Mika, G Raetsch, B Scholkopf, KR Muller Neural networks for signal processing IX, 1999	4236	1999
The molecular taxonomy of primary prostate cancer A Abeshouse, J Ahn, R Akbani, A Ally, S Amin, CD Andry, M Annala, ... Cell 163 (4), 1011-1025, 2015	2706	2015
Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020	1890*	2020
Determination and inference of eukaryotic transcription factor sequence specificity MT Weirauch, A Yang, M Albu, AG Cote, A Montenegro-Montero, P Drewe, ... Cell 158 (6), 1431-1443, 2014	1801	2014
Large scale multiple kernel learning S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf The Journal of Machine Learning Research 7, 1531-1565, 2006	1747	2006
Soft margins for AdaBoost G Rätsch, T Onoda, KR Müller Machine learning 42, 287-320, 2001	1725	2001
Input space versus feature space in kernel-based methods B Scholkopf, S Mika, CJC Burges, P Knirsch, KR Muller, G Ratsch, ... IEEE transactions on neural networks 10 (5), 1000-1017, 1999	1716	1999
Challenging common assumptions in the unsupervised learning of disentangled representations F Locatello, S Bauer, M Lucic, G Raetsch, S Gelly, B Schölkopf, O Bachem international conference on machine learning, 4114-4124, 2019	1563	2019
Kernel PCA and de-noising in feature spaces S Mika, B Schölkopf, A Smola, KR Müller, M Scholz, G Rätsch Advances in neural information processing systems 11, 1998	1471	1998
Predicting time series with support vector machines KR Müller, AJ Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik International conference on artificial neural networks, 999-1004, 1997	1455	1997
Integrative Analysis of the Caenorhabditis elegans Genome by the modENCODE Project MB Gerstein, ZJ Lu, EL Van Nostrand, C Cheng, BI Arshinoff, T Liu, ... Science 330 (6012), 1775-1787, 2010	1133	2010
Real-valued (medical) time series generation with recurrent conditional gans C Esteban, SL Hyland, G Rätsch arXiv preprint arXiv:1706.02633, 2017	944	2017
Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana RM Clark, G Schweikert, C Toomajian, S Ossowski, G Zeller, P Shinn, ... science 317 (5836), 338-342, 2007	866	2007
Support vector machines and kernels for computational biology A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch PLoS computational biology 4 (10), e1000173, 2008	836	2008
Assessment of transcript reconstruction methods for RNA-seq T Steijger, JF Abril, PG Engström, F Kokocinski, TJ Hubbard, R Guigó, ... Nature methods 10 (12), 1177-1184, 2013	785	2013
Comprehensive analysis of alternative splicing across tumors from 8,705 patients A Kahles, KV Lehmann, NC Toussaint, M Hüser, SG Stark, ... Cancer cell 34 (2), 211-224. e6, 2018	770	2018
Multiple reference genomes and transcriptomes for Arabidopsis thaliana X Gan, O Stegle, J Behr, JG Steffen, P Drewe, KL Hildebrand, R Lyngsoe, ... Nature 477 (7365), 419-423, 2011	752	2011
Genomewide SNP variation reveals relationships among landraces and modern varieties of rice KL McNally, KL Childs, R Bohnert, RM Davidson, K Zhao, VJ Ulat, ...	709	2009
An introduction to boosting and leveraging R Meir, G Rätsch Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 …, 2003	688	2003

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