Improved Statistical Methods Enable Greater Sensitivity in Rhythm Detection for Genome-Wide Data

PLoS Computational Biology

Volumn 11, Issue 3, 2015, Pages

  Hutchison, Alan L ^a,b   Maienschein Cline, Mark ^c   Chiang, Andrew H ^b   Tabei, S M Ali ^b,e   Gudjonson, Herman ^a,b   Bahroos, Neil ^c   Allada, Ravi ^d   Dinner, Aaron R ^a,b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

^e UNIVERSITY OF NORTHERN IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; STATISTICAL TESTS;

% REDUCTIONS; ANALYTIC METHOD; GENE FUNCTION; MULTIPLE HYPOTHESES TESTING; NON-SINUSOIDAL; NULL DISTRIBUTION; PERFORMANCE; PERIODIC PATTERN; ROBUST METHODS; WAVEFORMS;

ANALYSIS OF VARIANCE (ANOVA);

ACCURACY; ALGORITHM; ALTERNATIVE RNA SPLICING; ARTICLE; CALCULATION; CIRCADIAN RHYTHM; DATA ANALYSIS; DROSOPHILA MELANOGASTER; GENE EXPRESSION; GENETIC TRANSCRIPTION; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; PREDICTION; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; INSECT GENOME; PROCEDURES; STATISTICAL MODEL;

DROSOPHILA MELANOGASTER;

ANIMALS; CIRCADIAN RHYTHM; COMPUTER SIMULATION; DROSOPHILA MELANOGASTER; GENE EXPRESSION PROFILING; GENOME, INSECT; GENOMICS; MODELS, GENETIC; MODELS, STATISTICAL;

EID: 84926337098     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004094     Document Type: Article

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