DiCARN-DNase: enhancing cell-to-cell Hi-C resolution using dilated cascading ResNet with self-attention and DNase-seq chromatin accessibility data

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Journal
Bioinformatics
Published
2025-08-12
DOI
https://doi.org/10.1093/bioinformatics/btaf452
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

DiCARN-DNase: enhancing cell-to-cell Hi-C resolution using dilated cascading ResNet with self-attention and DNase-seq chromatin accessibility data

Oluwatosin Oluwadare, Samuel Olowofila
Bioinformatics
Cell Image Analysis Techniques
article

DiCARN-DNase: enhancing cell-to-cell Hi-C resolution using dilated cascading ResNet with self-attention and DNase-seq chromatin accessibility data

Oluwatosin Oluwadare, Samuel Olowofila
article en

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(9)
University of North Texas (US), University of Colorado Anschutz Medical Campus (US), University of Colorado Colorado Springs (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 85%
Cell Image Analysis Techniques
DOIOpen Access PDFOpenAlex
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