Sample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experiments

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Bi, Ran ^a   Liu, Peng ^a  

^a Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

Author keywords

Experimental design; FDR; Power analysis; RNA seq; Sample size calculation

Indexed keywords

ALGORITHMS; DESIGN OF EXPERIMENTS; ERROR ANALYSIS; POWER CONTROL; RNA; STATISTICAL TESTS; STATISTICS;

CLOSED-FORM FORMULAE; COMPETITIVE PERFORMANCE; DIFFERENTIALLY EXPRESSED GENE; EXPRESSION ANALYSIS; FALSE DISCOVERY RATE; POWER ANALYSIS; RNA-SEQ DATA ANALYSIS; SAMPLE SIZES;

BIOINFORMATICS;

CALCULATION; DATA ANALYSIS; EXPERIMENTAL DESIGN; FAMILY STUDY; GENE EXPRESSION; INFORMATION CENTER; POWER ANALYSIS; RNA SEQUENCE; SAMPLE SIZE; STATISTICAL MODEL; ALGORITHM; CHEMISTRY; COMPUTER INTERFACE; GENETICS; INTERNET; METABOLISM; SEQUENCE ANALYSIS;

RNA; TRANSCRIPTOME;

ALGORITHMS; INTERNET; RNA; SAMPLE SIZE; SEQUENCE ANALYSIS, RNA; TRANSCRIPTOME; USER-COMPUTER INTERFACE;

EID: 84965043970     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-0994-9     Document Type: Article

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