Gunnar Rätsch
TitleCited byYear
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
40582001
Fisher discriminant analysis with kernels
S Mika, G Raetsch, B Scholkopf, KR Muller
Neural networks for signal processing IX, 1999
29911999
The cancer genome atlas pan-cancer analysis project
JN Weinstein, EA Collisson, GB Mills, KRM Shaw, BA Ozenberger, ...
Nature genetics 45 (10), 1113, 2013
23792013
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006
15022006
Input space versus feature space in kernel-based methods
B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ...
IEEE transactions on neural networks 10 (5), 1000-1017, 1999
14451999
Soft margins for AdaBoost
G Rätsch, T Onoda, KR Müller
Machine learning 42 (3), 287-320, 2001
13212001
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
10651997
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
10351999
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
8762015
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
8282010
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
7282007
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
6162014
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
5862000
An introduction to boosting and leveraging
R Meir, G Rätsch
Advanced lectures on machine learning, 118-183, 2003
5762003
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, 2011
5332011
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
5242008
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
5242008
Genomewide SNP variation reveals relationships among landraces and modern varieties of rice
KL McNally, KL Childs, R Bohnert, RM Davidson, K Zhao, VJ Ulat, ...
5132009
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, 2013
4142013
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, 2013
3772013
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Articles 1–20