<p>GraDe-SVM: graph-diffused classification for the analysis of somatic mutations in cancer</p>

Morteza Chalabi Hajkarim; Fabio Vandin

doi:10.7490/f1000research.1111229.1

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Chalabi Hajkarim M and Vandin F. GraDe-SVM: graph-diffused classification for the analysis of somatic mutations in cancer [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):32 (slides) (https://doi.org/10.7490/f1000research.1111229.1)

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GraDe-SVM: graph-diffused classification for the analysis of somatic mutations in cancer

Morteza Chalabi Hajkarim¹, Fabio Vandin

Published 07 Jan 2016 (https://doi.org/10.7490/f1000research.1111229.1)

Author Affiliations

¹ University of Southern Denmark, Denmark

Copyright © 2016 Chalabi Hajkarim M and Vandin F. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 07 Jan 2016

GraDe-SVM: graph-diffused classification for the analysis of somatic mutations in cancer
[version 1; not peer reviewed]

Morteza Chalabi Hajkarim¹, Fabio Vandin

Author Affiliations

¹ University of Southern Denmark, Denmark

Presented at

13th Annual Rocky Mountain Bioinformatics Conference 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

GraDe-SVM, support vector machines (SVM), classification, network, next generation sequencing (NGS), cancer genome, somatic mutation, copy number variation (CNV), single nucleotide variation (SNV), cancer types, TCGA

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