VSS-Hi-C: Variance-stabilized signals for chromatin contacts
Neda Shokraneh, Faezeh Bayat, Maxwell W. Libbrecht
VSS-Hi-C stabilizes variance in Hi-C data to improve visualization and analysis by transforming read counts into unit variance signals.
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Simon Fraser University
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3 papers
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Neda Shokraneh, Faezeh Bayat, Maxwell W. Libbrecht
VSS-Hi-C stabilizes variance in Hi-C data to improve visualization and analysis by transforming read counts into unit variance signals.
Neda Shokraneh, Mariam Arab, Maxwell W. Libbrecht
The paper introduces an integrative method for chromatin domain annotation using Hi-C data and functional genomic signals without a pairwise prior, achieving better resolution of subcompartments.
Bowen Chen, Neda Shokraneh, Maxwell W. Libbrecht
The paper introduces a method to annotate the human epigenome with continuous chromatin state features, improving downstream applications like gene and enhancer identification.