TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection

BACKGROUND: One of the challenges in classification of cancer tissue samples based on gene expression data is to establish an effective method that can select a parsimonious set of informative genes. The Top Scoring Pair (TSP), k-Top Scoring Pairs (k-TSP), Support Vector Machines (SVM), and predicti...

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Detalles Bibliográficos
Autores principales: Wang, Haiyan, Zhang, Hongyan, Dai, Zhijun, Chen, Ming-shun, Yuan, Zheming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552704/
https://www.ncbi.nlm.nih.gov/pubmed/23445528
http://dx.doi.org/10.1186/1755-8794-6-S1-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3552704/
https://www.ncbi.nlm.nih.gov/pubmed/23445528
http://dx.doi.org/10.1186/1755-8794-6-S1-S3

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