McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes

McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes

Abstract Transcriptional enhancers regulate spatio-temporal gene expression. While genomic assays can identify putative enhancers en masse, assigning target genes is a complex challenge. We devised a machine learning approach, McEnhancer, which links target genes to putative enhancers via a semi-sup...

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Bibliographic Details
Main Authors: Dina Hafez, Aslihan Karabacak, Sabrina Krueger, Yih-Chii Hwang, Li-San Wang, Robert P. Zinzen, Uwe Ohler
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Genome Biology
Subjects:
Interpolated Markov model
Enhancer to target gene assignment
Gene expression
Drosophila melanogaster
Gene regulation
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13059-017-1316-x

Internet

http://link.springer.com/article/10.1186/s13059-017-1316-x

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