A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions

The role of three-dimensional genome organization as a critical regulator of gene expression has become increasingly clear over the last decade. Most of our understanding of this association comes from the study of long range chromatin interaction maps provided by Chromatin Conformation Capture-base...

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Detalles Bibliográficos
Autores principales: Vanhaeren, Thomas, Divina, Federico, García-Torres, Miguel, Gómez-Vela, Francisco, Vanhoof, Wim, Martínez-García, Pedro Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563616/
https://www.ncbi.nlm.nih.gov/pubmed/32847102
http://dx.doi.org/10.3390/genes11090985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563616/
https://www.ncbi.nlm.nih.gov/pubmed/32847102
http://dx.doi.org/10.3390/genes11090985

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