Jiang, Bo <br/><br/>
Bayesian hierarchical model of protein-binding microarray k-mer data reduces noise and identifies transcription factor subclasses and preferred k-mers.  [electronic resource] 

 -  Bioinformatics (Oxford, England)  Jun 2013 
 - 1390-8 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural 
<br/><br/><label>ISSN: </label>1367-4811 
<br/><br/><label>Standard No.: </label>10.1093/bioinformatics/btt152  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Analysis of Variance<br/>Artifacts<br/>Bayes Theorem<br/>Binding Sites<br/>Chromatin Immunoprecipitation<br/>DNA-Binding Proteins--classification<br/>Oligonucleotide Array Sequence Analysis--methods<br/>Regulatory Elements, Transcriptional<br/>Software<br/>Transcription Factors--classification