BindSpace decodes transcription factor binding signals by large-scale sequence embedding

Decoding transcription factor (TF) binding signals in genomic DNA is a fundamental problem. Here we present a prediction model called BindSpace that learns to embed DNA sequences and TF class/family labels into the same space. By training on binding data for hundreds of TFs and embedding over 1M DNA...

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Detalles Bibliográficos
Autores principales: Yuan, Han, Kshirsagar, Meghana, Zamparo, Lee, Lu, Yuheng, Leslie, Christina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717532/
https://www.ncbi.nlm.nih.gov/pubmed/31406384
http://dx.doi.org/10.1038/s41592-019-0511-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6717532/
https://www.ncbi.nlm.nih.gov/pubmed/31406384
http://dx.doi.org/10.1038/s41592-019-0511-y

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