Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network.

Journal of bioinformatics and computational biology

Volumn 1, Issue 2, 2003, Pages 231-252

  Imoto, Seiya ^a   Kim, Sunyong ^a   Goto, Takao ^a   Miyano, Satoru ^a   Aburatani, Sachiyo ^a   Tashiro, Kousuke ^a   Kuhara, Satoru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

SACCHAROMYCES CEREVISIAE PROTEIN;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; DNA MICROARRAY; EVALUATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; REGRESSION ANALYSIS; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; STATISTICAL MODEL;

BAYES THEOREM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, FUNGAL; MODELS, GENETIC; MODELS, STATISTICAL; NONLINEAR DYNAMICS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REGRESSION ANALYSIS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL TRANSDUCTION;

EID: 3042698613     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720003000071     Document Type: Article

References (0)