Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data | Zendy

Lei Xu | Zendy; Aik Choon Tan | Zendy; Daniel Q. Naiman | Zendy; Donald Geman | Zendy; Raimond L. Winslow | Zendy

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Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data

Author(s) -

Lei Xu,

Aik Choon Tan,

Daniel Q. Naiman,

Donald Geman,

Raimond L. Winslow

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti647

Subject(s) - microarray , microarray analysis techniques , dna microarray , microarray databases , classifier (uml) , prostate cancer , computational biology , biology , computer science , gene , data mining , cancer , genetics , artificial intelligence , gene expression

DNA microarray data analysis has been used previously to identify marker genes which discriminate cancer from normal samples. However, due to the limited sample size of each study, there are few common markers among different studies of the same cancer. With the rapid accumulation of microarray data, it is of great interest to integrate inter-study microarray data to increase sample size, which could lead to the discovery of more reliable markers.

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