Results 261 to 265 of about 41,584,039 (265)

A technique for preserving network structure in randomized Hi-C data

Journal of Bioinformatics and Computational Biology
Chromatin interaction data are frequently analyzed as a network to study several aspects of chromatin structure. Hi-C experiments are costly and there is a need to create simulated networks for quality assessment or result validation purposes. Existing tools do not maintain network properties during randomization.
Andrejs Sizovs, Gatis Melkus, Peteris Rucevskis, Sandra Silina, Lelde Lace, Edgars Celms, Juris Viksna   +6 more
openaire   +3 more sources

Hi-C Data Analysis

2022
openaire   +1 more source

HiCTF:A Transformer Model for enhancing Hi-C data resolution

Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering, 2023
Xuemin Zhao, Ran Duan 0006, Shaowen Yao 0001   +2 more
openaire   +1 more source

Graph-Based Genome Inference from Hi-C Data

Yihang Shen, Lingge Yu, Yutong Qiu, Tianyu Zhang, Carl Kingsford   +4 more
openaire   +2 more sources

Topological Domain Analysis of Hi-C Data

2014
openaire   +1 more source