| 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 | 4309 | 2001 |
| The cancer genome atlas pan-cancer analysis project JN Weinstein, EA Collisson, GB Mills, KRM Shaw, BA Ozenberger, ... Nature genetics 45 (10), 1113, 2013 | 3246 | 2013 |
| Fisher discriminant analysis with kernels S Mika, G Raetsch, B Scholkopf, KR Muller Neural networks for signal processing IX, 1999 | 3240 | 1999 |
| Large scale multiple kernel learning S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006 | 1576 | 2006 |
| 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 | 1502 | 1999 |
| Soft margins for AdaBoost G Rätsch, T Onoda, KR Müller Machine learning 42 (3), 287-320, 2001 | 1414 | 2001 |
| 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 | 1185 | 2015 |
| Kernel PCA and de-noising in feature spaces S Mika, B Schölkopf, AJ Smola, KR Müller, M Scholz, G Rätsch Advances in neural information processing systems, 536-542, 1999 | 1155 | 1999 |
| 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 | 1155 | 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 | 906 | 2010 |
| 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 | 813 | 2014 |
| 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 | 780 | 2007 |
| Engineering support vector machine kernels that recognize translation initiation sites A Zien, G Rätsch, S Mika, B Schölkopf, T Lengauer, KR Müller Bioinformatics 16 (9), 799-807, 2000 | 604 | 2000 |
| An introduction to boosting and leveraging R Meir, G Rätsch Advanced lectures on machine learning, 118-183, 2003 | 603 | 2003 |
| 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 | 594 | 2011 |
| Support vector machines and kernels for computational biology A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch PLoS Comput Biol 4 (10), e1000173, 2008 | 582 | 2008 |
| Support vector machines and kernels for computational biology A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch PLoS Comput Biol 4 (10), e1000173, 2008 | 582 | 2008 |
| Genomewide SNP variation reveals relationships among landraces and modern varieties of rice KL McNally, KL Childs, R Bohnert, RM Davidson, K Zhao, VJ Ulat, ... | 562 | 2009 |
| Assessment of transcript reconstruction methods for RNA-seq T Steijger, JF Abril, PG Engström, F Kokocinski, M Akerman, T Alioto, ... Nature methods 10 (12), 1177-1184, 2013 | 493 | 2013 |
| Systematic evaluation of spliced alignment programs for RNA-seq data PG Engström, T Steijger, B Sipos, GR Grant, A Kahles, T Alioto, J Behr, ... Nature methods 10 (12), 1185-1191, 2013 | 431 | 2013 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedDirección de correo verificada de tuebingen.mpg.de
