In silico prediction of high-resolution Hi-C interaction matrices
oleh: Shilu Zhang, Deborah Chasman, Sara Knaack, Sushmita Roy
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2019-12-01 |
Deskripsi
Existing computational approaches to predict long-range regulatory interactions do not fully exploit high-resolution Hi-C datasets. Here the authors present a Random Forests regression-based approach to predict high-resolution Hi-C counts using one-dimensional regulatory genomic signals.