Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Wang, Kui ^a   Ng, Shu Kay ^b   McLachlan, Geoffrey J ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

Autoregressive random effects; EMMIX WIRE procedure; Mixtures of linear mixed models; Time course data

Indexed keywords

AUTO-REGRESSIVE; CO-REGULATED GENES; CO-REGULATION; EMMIX-WIRE PROCEDURE; EXPRESSION MEASUREMENTS; FIRST ORDER; FOURIER; GENE EXPRESSION DATA; GENE EXPRESSION PROFILES; GENE PROFILES; LINEAR MIXED MODELS; MIXTURE MODEL; NORMAL MIXTURE MODELS; RANDOM EFFECTS; RANDOM EFFECTS MODEL; REAL EXAMPLE; ROBUST CLUSTERING; SERIES APPROXIMATIONS; TIME COURSE; TIME POINTS; TIME-COURSE GENE EXPRESSION PROFILES; VARIANCE STRUCTURE; YEAST CELL CYCLES;

COMPUTER SIMULATION; FOURIER SERIES; MIXTURES; RANDOM PROCESSES; WIRE;

GENE EXPRESSION;

TRANSCRIPTOME;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CELL CYCLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; DNA MICROARRAY; FACTUAL DATABASE; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETICS; SACCHAROMYCES CEREVISIAE; STATISTICS;

ALGORITHMS; CELL CYCLE; CLUSTER ANALYSIS; DATABASES, FACTUAL; GENE EXPRESSION; GENE EXPRESSION PROFILING; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SACCHAROMYCES CEREVISIAE; SOFTWARE; TRANSCRIPTOME;

MLCS; MLOWN;

EID: 84868709019     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-300     Document Type: Article

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