Author

Lihong Zhao

University of California, MercedORCID 0000-0001-5985-0614Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:scRNA-seq· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

A. Ali HeydariiD· 1 shared Katrina K. HoyeriD· 1 shared Oscar A. DavalosiD· 1 shared Suzanne SindiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

A. Ali HeydariORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedFeb 15, 2022

ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

A. Ali Heydari, Oscar A. Davalos, Lihong Zhao…·Suzanne Sindi

ACTIVA generates realistic synthetic scRNA-seq data with cell-type identification, improving classifier performance and reducing training time compared to existing methods.

35 citations

scRNA-seqvariational autoencoder

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