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DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks
BACKGROUND: Due to the complexity of the biological systems, the prediction of the potential DNA binding sites for transcription factors remains a difficult problem in computational biology. Genomic DNA sequences and experimental results from parallel sequencing provide available information about t...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7852092/ https://ncbi.nlm.nih.gov/pubmed/33522898 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03952-1 |
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