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

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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Bibliographic Details
Main Authors: Thomas Vanhaeren, Federico Divina, Miguel García-Torres, Francisco Gómez-Vela, Wim Vanhoof, Pedro Manuel Martínez García
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Genes
Subjects:
machine-learning
chromatin interactions
prediction
genomics
genome architecture
Online Access:https://www.mdpi.com/2073-4425/11/9/985

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https://www.mdpi.com/2073-4425/11/9/985

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