OHMM: a Hidden Markov Model accurately predicting the occupancy of a transcription factor with a self-overlapping binding motif.
Amar DrawidNupur GuptaVijayalakshmi H. NagarajCéline GélinasAnirvan M. SenguptaPublished in: BMC Bioinform. (2009)
Keyphrases
- hidden markov models
- transcription factors
- dna binding
- transcription factor binding sites
- binding sites
- chip seq
- gene expression
- microarray
- dna sequences
- component analysis
- genome wide
- computational biology
- motif discovery
- cis regulatory
- systems biology
- co occurrence
- highly correlated
- conditional random fields
- speech recognition
- sequence data
- biomedical literature
- high throughput
- regulatory elements
- biological sequences
- statistical significance
- microarray data
- gene expression data
- statistical tests
- text mining