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

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Bibliographic Details
Title:	CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.
Authors:	Thibodeau, Asa¹ (AUTHOR), Khetan, Shubham¹ (AUTHOR), Eroglu, Alper¹ (AUTHOR), Tewhey, Ryan² (AUTHOR), Stitzel, Michael L.^1,3,4 (AUTHOR), Ucar, Duygu^1,3,4 (AUTHOR) duygu.ucar@jax.org
Source:	PLoS Computational Biology. 12/13/2021, Vol. 17 Issue 12, p1-32. 32p. 1 Diagram, 3 Charts, 4 Graphs.
Database:	Academic Search Ultimate
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Description
ISSN:	1553734X
DOI:	10.1371/journal.pcbi.1009670