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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...
Autores principales: | Chung, Feng-Hsiang, Lee, Henry Hsin-Chung, Lee, Hoong-Chien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
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 |
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