Author

Ya Hu

Cornell UniversityORCID 0000-0003-2813-9947Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:whole-genome sequencing· 2 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Amnon KoreniD· 2 shared Qiliang DingiD· 2 shared Aditya S. DeshpandeiD· 1 shared Alexa N. BracciiD· 1 shared Andrew G. ClarkiD· 1 shared Christine J. CharvetiD· 1 shared Dieter M. EgliiD· 1 shared Florian T. MerkleiD· 1 shared

Activity by Year

2015-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenomics

Amnon KorenORCID

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3 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedNov 19, 2021

The Genetic Architecture of DNA Replication Timing in Human Pluripotent Stem Cells

Qiliang Ding, Matthew M. Edwards, Ning Wang…·Amnon Koren

This study identifies genetic regulators of DNA replication timing in human pluripotent stem cells, revealing a histone code and combinatorial regulatory mechanisms.

39 citations

humanDNA methylation

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GenomicsbioRxivPreprintNov 22, 2019

Robust foreground detection in somatic copy number data

Aditya S. Deshpande, Trent J. Walradt, Ya Hu…·Marcin B. Imielinski

dryclean improves somatic copy number alteration detection in cancer genomes by reducing read depth waviness through signal processing.

12 citations

whole-genome sequencingstatistical model

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GenomicsbioRxivPreprintJul 15, 2015

Investigating the Evolutionary Importance of Denisovan Introgressions in Papua New Guineans and Australians

Ya Hu, Qiliang Ding, Yi Wang…·Li Jin

This study identifies Denisovan introgressions in Papua New Guineans and Australians, finds they are under positive selection and related to important evolutionary functions, and proposes a method for detecting archaic hominin introgressions.

DOI 10.1101/022632

humanwhole-genome sequencing

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