A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets

Chandler Zuo, Kailei Chen, Sündüz Keles. A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets. In Mona Singh, editor, Research in Computational Molecular Biology - 20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings. Volume 9649 of Lecture Notes in Computer Science, pages 19-36, Springer, 2016. [doi]

@inproceedings{ZuoCK16,
  title = {A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets},
  author = {Chandler Zuo and Kailei Chen and Sündüz Keles},
  year = {2016},
  doi = {10.1007/978-3-319-31957-5_2},
  url = {http://dx.doi.org/10.1007/978-3-319-31957-5_2},
  researchr = {https://researchr.org/publication/ZuoCK16},
  cites = {0},
  citedby = {0},
  pages = {19-36},
  booktitle = {Research in Computational Molecular Biology - 20th Annual Conference, RECOMB 2016, Santa Monica, CA, USA, April 17-21, 2016, Proceedings},
  editor = {Mona Singh},
  volume = {9649},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-31956-8},
}