Dunn Index Bootstrap (DIBS): A procedure to empirically select a cluster analysis method that identifies biologically and clinically relevant molecular disease subgroups

BMC Bioinformatics

Poster Presentation

Zhifa Liu¹  Arzu Onar-Thomas¹  Stan Pounds¹  Tong Lin¹  Lei Shi¹  Iwona Pawlikowska²  Tanja Gruber³  Giles Robinson³ 

[1] Department of Biostatistics, St. Jude Children's Research Hospital, 38105, Memphis, TN, USA;Department of Biostatistics, St. Jude Children's Research Hospital, 38105, Memphis, TN, USA;Institue of Mathematics, University of Silesia, 2469011, Katowice, Poland;Department of Oncology, St. Jude Children's Research Hospital, 38105, Memphis, TN, USA;

关键词: Feature Selection;    Risk Classification;    Combinatorial Library;    Microarray Gene Expression;    Microarray Gene;   

DOI  :  10.1186/1471-2105-16-S15-P12

来源: Springer

【 授权许可】

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© Pawlikowska et al. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.