A conservative parametric approach to motif significance analysis.

Genome informatics. International Conference on Genome Informatics

Volumn 19, Issue , 2007, Pages 61-72

  Keich, Uri ^a   Ng, Patrick ^a  

^a School of Operations Research and Information Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR;

ALGORITHM; ARTICLE; BINDING SITE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; COMPUTER SIMULATION; METABOLISM; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; PROTEIN DATABASE; PROTEIN MOTIF; PROTEIN TERTIARY STRUCTURE; STATISTICAL MODEL;

ALGORITHMS; AMINO ACID MOTIFS; BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; MONTE CARLO METHOD; PROTEIN STRUCTURE, TERTIARY; SOFTWARE; TRANSCRIPTION FACTORS;

MLCS; MLOWN;

EID: 46749093391     PISSN: 09199454     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781860949852_0006     Document Type: Article

References (0)