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

Asa Thibodeau, Shubham Khetan, Alper Eroglu, Ryan Tewhey, Michael L. Stitzel, Duygu Ucar. CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data. PLoS Computational Biology, 17(12), 2021. [doi]

@article{ThibodeauKETSU21,
  title = {CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data},
  author = {Asa Thibodeau and Shubham Khetan and Alper Eroglu and Ryan Tewhey and Michael L. Stitzel and Duygu Ucar},
  year = {2021},
  doi = {10.1371/journal.pcbi.1009670},
  url = {https://doi.org/10.1371/journal.pcbi.1009670},
  researchr = {https://researchr.org/publication/ThibodeauKETSU21},
  cites = {0},
  citedby = {0},
  journal = {PLoS Computational Biology},
  volume = {17},
  number = {12},
}