It’s DE-licious: A recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR

Methods in Molecular Biology

Volumn 1418, Issue , 2016, Pages 391-416

  Lun, Aaron T L ^a   Chen, Yunshun ^a   Smyth, Gordon K ^a  

^a NONE

Author keywords

Differential expression; Generalized linear models; Quasi likelihood; Read alignment; Read counts; RNA seq; Variability

Indexed keywords

ANALYTIC METHOD; ANIMAL EXPERIMENT; BASAL CELL; BREAST CELL; CELL POPULATION; COMPARATIVE STUDY; CONTROLLED STUDY; EXON; FEMALE; GENE EXPRESSION; GENE LIBRARY; GENE ONTOLOGY; HUMAN; MAMMARY GLAND; MOUSE; NONHUMAN; QUASI LIKELIHOOD METHOD; RNA SEQUENCE; ANIMAL; BIOLOGY; GENE EXPRESSION PROFILING; GENETIC DATABASE; HIGH THROUGHPUT SEQUENCING; MOLECULAR GENETICS; PROCEDURES; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SOFTWARE; STATISTICAL MODEL;

ANIMALS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MICE; MOLECULAR SEQUENCE ANNOTATION; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84961614091     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4939-3578-9_19     Document Type: Chapter

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