Unknown

Dataset Information

0

PUGSVM: a caBIG™ analytical tool for multiclass gene selection and predictive classification.


ABSTRACT:

Unlabelled

Phenotypic Up-regulated Gene Support Vector Machine (PUGSVM) is a cancer Biomedical Informatics Grid (caBIG™) analytical tool for multiclass gene selection and classification. PUGSVM addresses the problem of imbalanced class separability, small sample size and high gene space dimensionality, where multiclass gene markers are defined by the union of one-versus-everyone phenotypic upregulated genes, and used by a well-matched one-versus-rest support vector machine. PUGSVM provides a simple yet more accurate strategy to identify statistically reproducible mechanistic marker genes for characterization of heterogeneous diseases.

Availability

http://www.cbil.ece.vt.edu/caBIG-PUGSVM.htm.

SUBMITTER: Yu G 

PROVIDER: S-EPMC3042183 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

PUGSVM: a caBIG™ analytical tool for multiclass gene selection and predictive classification.

Yu Guoqiang G   Li Huai H   Ha Sook S   Shih Ie-Ming IeM   Clarke Robert R   Hoffman Eric P EP   Madhavan Subha S   Xuan Jianhua J   Wang Yue Y  

Bioinformatics (Oxford, England) 20101224 5


<h4>Unlabelled</h4>Phenotypic Up-regulated Gene Support Vector Machine (PUGSVM) is a cancer Biomedical Informatics Grid (caBIG™) analytical tool for multiclass gene selection and classification. PUGSVM addresses the problem of imbalanced class separability, small sample size and high gene space dimensionality, where multiclass gene markers are defined by the union of one-versus-everyone phenotypic upregulated genes, and used by a well-matched one-versus-rest support vector machine. PUGSVM provid  ...[more]

Similar Datasets

| S-EPMC3065688 | biostudies-literature
| S-EPMC1184049 | biostudies-literature
| S-EPMC4775275 | biostudies-literature
| S-EPMC3347893 | biostudies-literature
| S-EPMC3223360 | biostudies-literature
| S-EPMC293475 | biostudies-literature
| S-EPMC7710761 | biostudies-literature
| S-EPMC7206293 | biostudies-literature
| S-EPMC10147969 | biostudies-literature
| S-EPMC9516607 | biostudies-literature