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A study on the application of topic models to motif finding algorithms
BACKGROUND: Topic models are statistical algorithms which try to discover the structure of a set of documents according to the abstract topics contained in them. Here we try to apply this approach to the discovery of the structure of the transcription factor binding sites (TFBS) contained in a set o...
Autores principales: | Basha Gutierrez, Josep, Nakai, Kenta |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259985/ https://www.ncbi.nlm.nih.gov/pubmed/28155646 http://dx.doi.org/10.1186/s12859-016-1364-3 |
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