@misc{indiciae9cd730ab9baf,
  title = {Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency},
  author = {Arthur, T. D. and Nguyen, J. P. and D'Antonio-Chronowska, A. and Matsui, H. and Silva, N. and Joshua, I. N. and iPSCORE Consortium, and Young Greenwald, W. W. and D'Antonio, M. and Pera, M. F. and Frazer, K. A.},
  year = {2023},
  doi = {10.1101/2023.05.20.541447},
  url = {https://www.biorxiv.org/content/10.1101/2023.05.20.541447v1},
  note = {Source identifier: 10.1101/2023.05.20.541447}
}