Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.

Genome informatics. International Conference on Genome Informatics

Volumn 19, Issue , 2007, Pages 142-153

  Shimamura, Teppei ^a   Imoto, Seiya ^a   Yamaguchi, Rui ^a   Miyano, Satoru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARABIDOPSIS; ARTICLE; BAYES THEOREM; BIOLOGY; COMPUTER SIMULATION; DNA MICROARRAY; GENE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; INSTRUMENTATION; METHODOLOGY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; STATISTICAL MODEL;

ALGORITHMS; ARABIDOPSIS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENES, PLANT; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

MLCS; MLOWN;

EID: 46749151407     PISSN: 09199454     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781860949852_0013     Document Type: Article

References (0)