Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component

Baba B. Alhaji, Hongsheng Dai, Yoshiko Hayashi, Veronica Vinciotti, Andrew Harrison, Berthold Lausen. Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. In Adalbert F. X. Wilhelm, Hans A. Kestler, editors, Analysis of Large and Complex Data - Second European Conference on Data Analysis, ECDA 2014, Bremen, Germany, July 2-4, 2014. Studies in Classification, Data Analysis, and Knowledge Organization, pages 507-517, Springer, 2014. [doi]

@inproceedings{AlhajiDHVHL14,
  title = {Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component},
  author = {Baba B. Alhaji and Hongsheng Dai and Yoshiko Hayashi and Veronica Vinciotti and Andrew Harrison and Berthold Lausen},
  year = {2014},
  doi = {10.1007/978-3-319-25226-1_43},
  url = {https://doi.org/10.1007/978-3-319-25226-1_43},
  researchr = {https://researchr.org/publication/AlhajiDHVHL14},
  cites = {0},
  citedby = {0},
  pages = {507-517},
  booktitle = {Analysis of Large and Complex Data - Second European Conference on Data Analysis, ECDA 2014, Bremen, Germany, July 2-4, 2014},
  editor = {Adalbert F. X. Wilhelm and Hans A. Kestler},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  publisher = {Springer},
  isbn = {978-3-319-25224-7},
}