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Seven myths of how transcription factors read the cis-regulatory code
Genomics data are now being generated at large quantities, of exquisite high resolution and from single cells. They offer a unique opportunity to develop powerful machine learning algorithms, including neural networks, to uncover the rules of the cis-regulatory code. However, current modeling assump...
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| Опубликовано в: : | Curr Opin Syst Biol |
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| Главный автор: | |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592701/ https://ncbi.nlm.nih.gov/pubmed/33134611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.coisb.2020.08.002 |
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