A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference

Elior Rahmani, Regev Schweiger, Liat Shenhav, Eleazar Eskin, Eran Halperin. A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference. In Süleyman Cenk Sahinalp, editor, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings. Volume 10229 of Lecture Notes in Computer Science, pages 207-223, 2017. [doi]

@inproceedings{RahmaniSSEH17,
  title = {A Bayesian Framework for Estimating Cell Type Composition from DNA Methylation Without the Need for Methylation Reference},
  author = {Elior Rahmani and Regev Schweiger and Liat Shenhav and Eleazar Eskin and Eran Halperin},
  year = {2017},
  doi = {10.1007/978-3-319-56970-3_13},
  url = {http://dx.doi.org/10.1007/978-3-319-56970-3_13},
  researchr = {https://researchr.org/publication/RahmaniSSEH17},
  cites = {0},
  citedby = {0},
  pages = {207-223},
  booktitle = {Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings},
  editor = {Süleyman Cenk Sahinalp},
  volume = {10229},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-56970-3},
}