Author

Nikita Dsouza

University of Minnesota

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Bioinformatics· 1

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Assay:ATAC-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Daniel J. GarryiD· 1 shared Wuming GongiD· 1 shared

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2022-2022 · peak 1/yr

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Daniel J. GarryORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 25, 2022

SeATAC: a tool for exploring the chromatin landscape and the role of pioneer factors

Nikita Dsouza, Wuming Gong, Daniel J. Garry

SeATAC is a tool that uses a conditional variational autoencoder to detect differential chromatin accessibility in ATAC-seq data, outperforming existing methods in multiple tasks.

2 citations

ATAC-seqstatistical model

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