A powerful statistical approach for large-scale differential transcription analysis.

Tan, Yuan-De; Chandler, Anita M; Chaudhury, Arindam; Neilson, Joel R

Tan, Yuan-De; Chandler, Anita M; Chaudhury, Arindam; Neilson, Joel R.

Affiliation

Tan YD; Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America.
Chandler AM; Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America.
Chaudhury A; Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America.
Neilson JR; Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America.

PLoS One ; 10(4): e0123658, 2015.

Article in En | MEDLINE | ID: mdl-25894390

Subject(s)

Gene Expression Profiling/methods; Statistics as Topic; Animals; Computer Simulation; Databases, Genetic; Humans; Jurkat Cells; Mice; RNA, Messenger/genetics; RNA, Messenger/metabolism; ROC Curve; Real-Time Polymerase Chain Reaction; Reproducibility of Results

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Statistics as Topic / Gene Expression Profiling Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2015 Document type: Article Affiliation country: United States Country of publication: United States

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