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GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes

2017-07-09

Abstract excerpt

Decoding the spatial organizations of chromosomes has crucial implications for studying eukaryotic gene regulation. Recently, Chromosomal conformation capture based technologies, such as Hi-C, have been widely used to uncover the interaction frequencies of genomic loci in high-throughput and genome-wide manner and provide new insights into the folding of three-dimensional (3D) genome structure. In this paper, we d...

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Literature Corpus work
2bda4128-512f-5212-9dab-07eff20f3c39
DOI
10.1101/161208
Open publication

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GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomesDOI 10.1101/161208
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