Article Information
History
- October 20, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Itunu G. Osuntoki1,
- Andrew Harrison1,*,
- Hongsheng Dai1,*,
- Yanchun Bao1,* and
- Nicolae Radu Zabet2,3,*
- 1Department of Mathematics, University of Essex, Colchester, CO4 3SQ, United Kingdom
- 2School of Life Sciences, University of Essex, Colchester, CO4 3SQ, United Kingdom
- 3Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, United Kingdom
- ↵*To whom correspondence should be addressed. Andrew Harrison (harry{at}essex.ac.uk); Hongsheng Dai (hdaia{at}essex.ac.uk); Yanchun Bao(ybaoa{at}essex.ac.uk) and Radu Zabet(r.zabet{at}qmul.ac.uk)
Posted October 20, 2021.
ZipHiC: a novel Bayesian framework to identify enriched interactions and experimental biases in Hi-C data
