A full Bayesian partition model for identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data

Henan Wang, Chong He, Garima Kushwaha, Dong Xu, Jing Qiu. A full Bayesian partition model for identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data. BMC Bioinformatics, 17(S-1):7, 2016. [doi]

@article{WangHKXQ16,
  title = {A full Bayesian partition model for identifying hypo- and hyper-methylated loci from single nucleotide resolution sequencing data},
  author = {Henan Wang and Chong He and Garima Kushwaha and Dong Xu and Jing Qiu},
  year = {2016},
  doi = {10.1186/s12859-015-0850-3},
  url = {http://dx.doi.org/10.1186/s12859-015-0850-3},
  researchr = {https://researchr.org/publication/WangHKXQ16},
  cites = {0},
  citedby = {0},
  journal = {BMC Bioinformatics},
  volume = {17},
  number = {S-1},
  pages = {7},
}