Apparently low reproducibility of true differential expression discoveries in microarray studies | Zendy

Min Zhang | Zendy; Chen Yao | Zendy; Zheng Guo | Zendy; Jinfeng Zou | Zendy; Lin Zhang | Zendy; Hui Xiao | Zendy; Dong Wang | Zendy; Da Yang | Zendy; Xue Gong | Zendy; Jing Zhu | Zendy; Yanhui Li | Zendy; Xia Li | Zendy

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Apparently low reproducibility of true differential expression discoveries in microarray studies

Author(s) -

Min Zhang,

Chen Yao,

Zheng Guo,

Jinfeng Zou,

Lin Zhang,

Hui Xiao,

Dong Wang,

Da Yang,

Xue Gong,

Jing Zhu,

Yanhui Li,

Xia Li

Publication year - 2008

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/btn365

Subject(s) - replicate , reproducibility , false discovery rate , gene chip analysis , computer science , microarray , microarray analysis techniques , data mining , computational biology , dna microarray , bioinformatics , statistics , biology , gene , mathematics , gene expression , genetics

Differentially expressed gene (DEG) lists detected from different microarray studies for a same disease are often highly inconsistent. Even in technical replicate tests using identical samples, DEG detection still shows very low reproducibility. It is often believed that current small microarray studies will largely introduce false discoveries.

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