A knowledge-based method to predict the cooperative relationship between transcription factors

Molecular Diversity

Volumn 14, Issue 4, 2010, Pages 815-819

  Lu, Lingyi ^a,b   Qian, Ziliang ^a,b   Shi, Xiaohe ^a   Li, Haipeng ^f   Cai, Yu Dong ^c,d   Li, Yixue ^a,e  

^a Chinese Academy of Sciences   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c SHANGHAI UNIVERSITY   (China)

^d FUDAN UNIVERSITY   (China)

^e SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^f NONE

Author keywords

Amino acid composition; BLAST; Functional domain composition; Jackknife cross validation test; The nearest neighbor algorithm; Transcription factor cooperation

Indexed keywords

TRANSCRIPTION FACTOR;

ACCURACY; ALGORITHM; AMINO ACID COMPOSITION; ARTICLE; HYBRIDIZATION; PREDICTION; PRIORITY JOURNAL;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BINDING SITES; BINDING, COMPETITIVE; COMPUTATIONAL BIOLOGY; DRUG SYNERGISM; FORECASTING; KNOWLEDGE BASES; PROTEIN BINDING; STRUCTURE-ACTIVITY RELATIONSHIP; TRANSCRIPTION FACTORS; TRANSCRIPTIONAL ACTIVATION;

EID: 78650178423     PISSN: 13811991     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11030-009-9177-1     Document Type: Article

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