A Powerful Statistical Approach for Large-Scale Differential Transcription Analysis

Open Access

Peer-reviewed

Research Article

Yuan-De Tan,

Affiliation Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America
⨯
Anita M. Chandler,

Affiliation Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America
⨯
Arindam Chaudhury,

Affiliation Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America
⨯
Joel R. Neilson

* E-mail: neilson@bcm.edu

Affiliation Department of Molecular Physiology and Biophysics and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas, 77030, United States of America
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Statistical methods
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Simulation and modeling
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Gene expression
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Transcriptome analysis
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Statistical data
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RNA sequencing
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Messenger RNA
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Next-generation sequencing
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