<![CDATA[BOL: DeepHiC: A Generative Adversarial Network for Enhancing Hi-C Data Resolution]]> https://bioinformaticsonline.com/bookmarks/view/41328/deephic-a-generative-adversarial-network-for-enhancing-hi-c-data-resolution? https://bioinformaticsonline.com/bookmarks/view/41328/deephic-a-generative-adversarial-network-for-enhancing-hi-c-data-resolution Tue, 03 Mar 2020 01:12:47 -0600 https://bioinformaticsonline.com/bookmarks/view/41328/deephic-a-generative-adversarial-network-for-enhancing-hi-c-data-resolution <![CDATA[DeepHiC: A Generative Adversarial Network for Enhancing Hi-C Data Resolution]]> DeepHiC is a GAN-based model for enhancing Hi-C data resolution. We developed this server for helping researchers to enhance their own low-resolution data by a few steps of clicks. Ab initio training could be performed according to our published code. We provided trained models for various depth of low-coverage sequencing Hi-C data. The depth of input data is estimated by its distribution comparing with those of the downsampled Hi-C data we used in training

Address of the bookmark: http://sysomics.com/deephic

]]> Rahul Nayak