In silico prediction of high-resolution Hi-C interaction matrices (part I)

<p>The uploaded files are source datasets for the HiC-Reg approach. HiC-Reg is a regression based method that predict contact counts from one-dimensional regulatory signals such as epigenetic marks and regulatory protein binding. See more details here (<a href="https://github.com/Roy-lab/HiC-Reg">https://github.com/Roy-lab/HiC-Reg</a>).&nbsp;There are a total of six files in this dataset:&nbsp;Data.tgz, Gm12878.tgz, Hmec.tgz, K562.tgz, Huvec.tgz&nbsp;and Nhek.tgz.&nbsp;The Data.tgz&nbsp;include&nbsp;predictions and other downstream analysis such as feature importance analysis, significant interaction calling, and data files for select figures. The Gm12878.tgz, K562.tgz, Huvec.tgz, Hmec.tgz and Nhek.tgz&nbsp;contain trained models, predictions, feature files for two chromosomes for in each&nbsp;cell line.</p> <p>This is part I of the dataset which contains Gm12878.tgz and Hmec.tgz.</p>