CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.

CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.

Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from single cells) by mapping accessible chromatin at...

Full description

Bibliographic Details
Main Authors: Asa Thibodeau, Shubham Khetan, Alper Eroglu, Ryan Tewhey, Michael L Stitzel, Duygu Ucar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-12-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009670&type=printable

Internet

https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009670&type=printable

Similar Items