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A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction

2021-05-01

Abstract excerpt

<h4>ABSTRACT</h4> The three-dimensional genome structure plays a key role in cellular function and gene regulation. Singlecell Hi-C technology can capture genome structure information at the cell level, which provides the opportunity to study how genome structure varies among different cell types. However, few methods are well designed for single-cell Hi-C clustering, because of high sparsity, noise and heterogen...

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Literature Corpus work
358aed31-062d-5cae-b4bc-55ae1665b00c
DOI
10.1101/2021.04.30.442215
Open publication

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A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extractionDOI 10.1101/2021.04.30.442215
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