Author

Soheil Feizi

Broad InstituteORCID 0000-0003-0944-8242Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniel MarbachiD· 1 shared Gerald QuoniD· 1 shared Héctor Corrada BravoiD· 1 shared Jayaram KancherlaiD· 1 shared M KellisiD· 1 shared Melina ClaussnitzeriD· 1 shared Mohamed K. GunadyiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

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7 top collaborators · 9 mutual co-author links

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1 shared paperBioinformatics

Daniel MarbachORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 12, 2019

scGAIN: Single Cell RNA-seq Data Imputation using Generative Adversarial Networks

Mohamed K. Gunady, Jayaram Kancherla, Héctor Corrada Bravo, Soheil Feizi

scGAIN imputes missing gene expressions in scRNA-seq data using GANs, improving clustering and matching with bulk RNA-seq.

16 citations

scRNA-seqdeep learning

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BioinformaticsbioRxivPreprintNov 11, 2018

Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regions

Gerald Quon, Soheil Feizi, Daniel Marbach…·M Kellis

CONVERGE identifies co-localization of GWAS variants with transcription factor binding sites in regulatory regions to find novel trait regulators, outperforming existing methods in validating type 2 diabetes regulators.

DOI 10.1101/467852

humanGWAS summary statistics

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