Author

Meihua Dang

University of California, Los Angeles

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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Genetics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:imputation· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anji LiuiD· 1 shared Boyang FuiD· 1 shared Guy Van den BroeckiD· 1 shared Prateek AnandiD· 1 shared Sriram SankararamaniD· 1 shared Xinzhu WeiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenetics

Anji LiuORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintMay 16, 2023

GPC: An expressive and tractable deep generative model for genetic variation data

Prateek Anand, Anji Liu, Meihua Dang…·Sriram Sankararaman

This paper introduces GPC, a deep generative model for genetic variation data that improves imputation accuracy and privacy preservation compared to existing methods.

2 citations

whole-genome sequencingdeep learning

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