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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
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| Materias: | |
| 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 |