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Support Vector Machines and Kernels for Computational Biology

2008712 citationsReviewgold Open Access

Authors

Asa Ben‐Hur · Colorado State University

Cheng Soon Ong · Max Planck Society

Sören Sonnenburg · Fraunhofer Society

Bernhard Schölkopf · Max Planck Institute for Biological Cybernetics

Gunnar Rätsch · Max Planck Society

Abstract

Art. e1000173, 10 S.

Topics & Keywords

Gene expression and cancer classification Machine Learning in Bioinformatics Bioinformatics and Genomic Networks

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: PLoS Computational Biology

Volume 4, Issue 10, pp. e1000173-e1000173

DOI: 10.1371/journal.pcbi.1000173

Field-Weighted Citation Impact: 11.99

Support Vector Machines and Kernels for Computational Biology | Researchclopedia