Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression

Biostatistics

Volumn 12, Issue 4, 2011, Pages 682-694

  Morrissey, Edward R ^a   Juárez, Miguel A ^a,b   Denby, Katherine J ^a   Burroughs, Nigel J ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Circadian clock; Gibbs variable selection; Markov process prior; Nonlinear gene regulatory networks; P Splines regression; Time course gene expression data

Indexed keywords

ALGORITHM; ARABIDOPSIS; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BIOSTATISTICS; CIRCADIAN RHYTHM; DNA MICROARRAY; GENE REGULATORY NETWORK; GENETICS; NONLINEAR SYSTEM; PLANT GENOME; PROBABILITY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; ARABIDOPSIS; BAYES THEOREM; BIOSTATISTICS; CIRCADIAN RHYTHM; GENE REGULATORY NETWORKS; GENOME, PLANT; LINEAR MODELS; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; NONLINEAR DYNAMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

ARABIDOPSIS THALIANA;

EID: 80052699490     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxr009     Document Type: Article

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