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A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features
Technological advances have lead to the creation of large epigenetic datasets, including information about DNA binding proteins and DNA spatial structure. Hi-C experiments have revealed that chromosomes are subdivided into sets of self-interacting domains called Topologically Associating Domains (TA...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924456/ https://www.ncbi.nlm.nih.gov/pubmed/33816958 http://dx.doi.org/10.7717/peerj-cs.307 |