CSI-Tree: A regression tree approach for modeling binding properties of DNA-binding molecules based on cognate site identification (CSI) data

Nucleic Acids Research

Volumn 36, Issue 10, 2008, Pages 3171-3184

  Keleş, Sündüz ^a   Warren, Christopher L ^b   Carlson, Clayton D ^b   Ansari, Aseem Z ^b  

^a University of Wisconsin Madison   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DINUCLEOTIDE; DNA BINDING PROTEIN; DOUBLE STRANDED DNA; POLYAMIDE; TRANSCRIPTION FACTOR NKX2.5; DNA; HOMEODOMAIN PROTEIN; NYLON; TRANSCRIPTION FACTOR;

3' UNTRANSLATED REGION; 5' UNTRANSLATED REGION; ALGORITHM; ANALYSIS OF VARIANCE; ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; BINDING AFFINITY; BINDING SITE; COGNATE SITE IDENTIFICATION; CONTROLLED STUDY; DATA ANALYSIS; DNA PROTEIN COMPLEX; DNA SEQUENCE; LIGAND BINDING; MATHEMATICAL MODEL; MOLECULAR RECOGNITION; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; PROTEIN DNA BINDING; REGRESSION ANALYSIS; SEQUENCE ALIGNMENT; VALIDATION STUDY; BIOLOGY; CHEMISTRY; DNA MICROARRAY; METABOLISM; METHODOLOGY; STATISTICAL MODEL;

EUKARYOTA;

ALGORITHMS; ANALYSIS OF VARIANCE; BINDING SITES; COMPUTATIONAL BIOLOGY; DNA; HOMEODOMAIN PROTEINS; LINEAR MODELS; MODELS, STATISTICAL; NYLONS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REGRESSION ANALYSIS; SEQUENCE ANALYSIS, DNA; TRANSCRIPTION FACTORS;

EID: 45549087197     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkn057     Document Type: Article

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