RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy

Sneha Mitra, Jianling Zhong, David M. MacAlpine, Alexander J. Hartemink. RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy. In Russell Schwartz, editor, Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10-13, 2020, Proceedings. Volume 12074 of Lecture Notes in Computer Science, pages 136-151, Springer, 2020. [doi]

@inproceedings{MitraZMH20,
  title = {RoboCOP: Multivariate State Space Model Integrating Epigenomic Accessibility Data to Elucidate Genome-Wide Chromatin Occupancy},
  author = {Sneha Mitra and Jianling Zhong and David M. MacAlpine and Alexander J. Hartemink},
  year = {2020},
  doi = {10.1007/978-3-030-45257-5_9},
  url = {https://doi.org/10.1007/978-3-030-45257-5_9},
  researchr = {https://researchr.org/publication/MitraZMH20},
  cites = {0},
  citedby = {0},
  pages = {136-151},
  booktitle = {Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10-13, 2020, Proceedings},
  editor = {Russell Schwartz},
  volume = {12074},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-45257-5},
}