Ranking analysis of microarray data: a powerful method for identifying differentially expressed genes.

Tan, Yuan-De; Fornage, Myriam; Fu, Yun-Xin

Tan, Yuan-De; Fornage, Myriam; Fu, Yun-Xin.

Affiliation

Tan YD; Institute of Molecular Medicine, School of Public Health, University of Texas at Houston, Houston, TX 77030, USA.
Fornage M; Institute of Molecular Medicine, School of Public Health, University of Texas at Houston, Houston, TX 77030, USA.
Fu YX; Laboratory for Conservation and Utilization of Bioresources, Yunnan University, Kunming, Yunnan 650, China; Human Genetics Center, School of Public Health, University of Texas at Houston, Houston, TX 77030, USA. Electronic address: Yunxin.fu@uth.tmc.edu.

Genomics ; 88(6): 846-854, 2006 Dec.

Article in En | MEDLINE | ID: mdl-16979869

Subject(s)

Computational Biology/methods; Gene Expression Profiling; Oligonucleotide Array Sequence Analysis/methods; Proteins/metabolism; Stroke; Animals; False Positive Reactions; Models, Statistical; Proteins/genetics; Random Allocation; Rats; Sample Size

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Computational Biology / Oligonucleotide Array Sequence Analysis / Stroke / Gene Expression Profiling Type of study: Evaluation_studies / Prognostic_studies Limits: Animals Language: En Journal: Genomics Journal subject: GENETICA Year: 2006 Document type: Article Affiliation country: United States

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