A flexible approximate likelihood ratio test for detecting differential expression in microarray data

DOI10.1016/j.csda.2009.03.022zbMath1453.62112OpenAlexW2016834574MaRDI QIDQ961838

Ahmed Hossain, Andrew R. Willan, Joseph Beyene, Pingzhao Hu

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.03.022

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (1)

Application of skew-normal distribution for detecting differential expression to microRNA data

Uses Software

• affy
• SAM
• GEST

Cites Work

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• An Investigation on Performance of Significance Analysis of Microarray (SAM) for the Comparisons of Several Treatments with one Control in the Presence of Small‐variance Genes
• Improved statistical tests for differential gene expression by shrinking variance components estimates
• Approximate MLEs of the parameters of location-scale models under type II censoring
• Inference for the Type II generalized logistic distribution under progressive Type II censoring
• Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates
• Classifying Gene Expression Profiles from Pairwise mRNA Comparisons

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