Towards a theoretical understanding of false positives in DNA motif finding

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Zia, Amin ^a   Moses, Alan M ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM DEVELOPMENT; BENCHMARK STUDY; COMPUTATIONAL BIOLOGY; DATA SET SIZE; DNA MOTIF; FALSE POSITIVE; GIBBS SAMPLERS; MOTIF FINDING; SEARCH SPACES; SEQUENCE LENGTHS; THEORETICAL PREDICTION;

ALGORITHMS; BENCHMARKING; BIOINFORMATICS;

DNA;

ALGORITHM; ARTICLE; BIOLOGY; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA SEQUENCE; METHODOLOGY; NUCLEOTIDE MOTIF; NUCLEOTIDE SEQUENCE;

ALGORITHMS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; NUCLEOTIDE MOTIFS; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84862751090     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-151     Document Type: Article

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