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Affinity regression predicts the recognition code of nucleic acid binding proteins
Predicting the affinity profiles of nucleic acid-binding proteins directly from the protein sequence is a major unsolved problem. We present a statistical approach for learning the recognition code of a family of transcription factors (TFs) or RNA-binding proteins (RBPs) from high-throughput binding...
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| Publicado en: | Nat Biotechnol |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4871164/ https://ncbi.nlm.nih.gov/pubmed/26571099 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nbt.3343 |
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