Differential expression analysis for RNAseq using Poisson mixed models

Nucleic Acids Research

Volumn 45, Issue 11, 2017, Pages

  Sun, Shiquan ^a,b   Hood, Michelle ^b   Scott, Laura ^b   Peng, Qinke ^a   Mukherjee, Sayan ^c   Tung, Jenny ^c   Zhou, Xiang ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b UNIVERSITY OF MICHIGAN   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; EFFECT SIZE; ERROR; FEMALE; GENE EXPRESSION; HUMAN; INTERMETHOD COMPARISON; MALE; NONHUMAN; POISSON DISTRIBUTION; POISSON MIXED MODEL; PRIORITY JOURNAL; RNA SEQUENCE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; MARKOV CHAIN; MONTE CARLO METHOD; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; HUMANS; LINEAR MODELS; MARKOV CHAINS; MODELS, GENETIC; MONTE CARLO METHOD; POISSON DISTRIBUTION; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 85026667037     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkx204     Document Type: Article

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