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Dataset Information

Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis.


ABSTRACT:

Objective

Identification of colorectal cancer (CRC) metastasis genes is one of the most important issues in CRC research. For the purpose of mining CRC metastasis-associated genes, an integrated analysis of microarray data was presented, by combined with evidence acquired from comparative genomic hybridization (CGH) data.

Methods

Gene expression profile data of CRC samples were obtained at Gene Expression Omnibus (GEO) website. The 15 important chromosomal aberration sites detected by using CGH technology were used for integrated genomic and transcriptomic analysis. Significant Analysis of Microarray (SAM) was used to detect significantly differentially expressed genes across the whole genome. The overlapping genes were selected in their corresponding chromosomal aberration

SUBMITTER: Li X 

PROVIDER: S-EPMC3872552 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature