ToP: A Trend-of-Disease-Progression Procedure Works Well for Identifying Cancer Genes from Multi-State Cohort Gene Expression Data for Human Colorectal Cancer

Significantly expressed genes extracted from microarray gene expression data have proved very useful for identifying genetic biomarkers of diseases, including cancer. However, deriving a disease related inference from a list of differentially expressed genes has proven less than straightforward. In...

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Detalles Bibliográficos
Autores principales: Chung, Feng-Hsiang, Lee, Henry Hsin-Chung, Lee, Hoong-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683052/
https://www.ncbi.nlm.nih.gov/pubmed/23799036
http://dx.doi.org/10.1371/journal.pone.0065683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683052/
https://www.ncbi.nlm.nih.gov/pubmed/23799036
http://dx.doi.org/10.1371/journal.pone.0065683

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