Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data

BMC Bioinformatics

Volumn 14, Issue SUPPL10, 2013, Pages

  Kähärä, Juhani ^a   Lähdesmäki, Harri ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b TURKU CENTRE FOR BIOTECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CROSS VALIDATION; HIGH-THROUGHPUT; MODEL PREDICTION; PREDICTION ACCURACY; PREDICTION PERFORMANCE; PROTEIN BINDING; PROTEIN-DNA INTERACTIONS;

BIOCHEMISTRY; CLASSIFICATION (OF INFORMATION); FORECASTING; MICROARRAYS;

PROTEINS;

DNA; DNA BINDING PROTEIN; GATA1 PROTEIN, HUMAN; NFATC1 PROTEIN, HUMAN; PROTEIN; REGULATORY FACTOR X TRANSCRIPTION FACTORS; TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR GATA 1; TRANSCRIPTION FACTOR NFAT; PROTEIN BINDING;

ALGORITHM; ARTICLE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DNA MICROARRAY; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; METABOLISM; METHODOLOGY; PROTEIN ANALYSIS; PROTEIN BINDING; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL; PROCEDURES;

ALGORITHMS; DNA; DNA-BINDING PROTEINS; GATA1 TRANSCRIPTION FACTOR; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LINEAR MODELS; NFATC TRANSCRIPTION FACTORS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN BINDING; PROTEIN INTERACTION MAPPING; PROTEINS; TRANSCRIPTION FACTORS;

EID: 84886864198     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-S10-S2     Document Type: Article

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