Author

Neda Shokraneh

Simon Fraser University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Maxwell W. LibbrechtiD· 3 shared Bowen CheniD· 1 shared Faezeh BayatiD· 1 shared Mariam Arab· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Maxwell W. LibbrechtORCID

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3 papers

Recent·Most cited

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.

Bioinformatics · Nov 28, 2024Peer-reviewedBioinformatics

Integrative chromatin domain annotation throughgraph embedding of Hi-C data

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.

Bioinformatics · Dec 16, 2022Peer-reviewedGenomics

Continuous chromatin state feature annotation of the human epigenome

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.

bioRxiv · Nov 18, 2018 · PreprintBioinformatics