Author

Elena W.Y. Hsieh

University of Colorado AnschutzORCID 0000-0003-3969-6597Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Organism:human· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Debashis GhoshiD· 3 shared Pratyaydipta RudraiD· 2 shared Ryan Michael BaxteriD· 2 shared Angela D. MiniciD· 1 shared Benjamin Guy BitleriD· 1 shared Christian Rickert· 1 shared Fuyong XingiD· 1 shared Julia WrobeliD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Debashis GhoshORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2025

cytoKernel: Robust kernel embeddings for assessing differential expression of single cell data

Tusharkanti Ghosh, Ryan Michael Baxter, Souvik Seal…·Debashis Ghosh

cytoKernel assesses differential expression in single-cell data by using kernel embeddings to detect both aggregate and subtle variations, outperforming existing methods.

3 citations

scRNA-seqCITE-seq

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 21, 2023

A Platform-Independent Framework for Phenotyping of Multiplex Tissue Imaging Data

Mansooreh Ahmadian, Christian Rickert, Angela D. Minic…·Kimberly Rae Jordan

The paper introduces a platform-independent preprocessing framework for multiplex tissue imaging data to improve cross-platform consistency and reliability.

3 citations

imagingstatistical model

𝕏 PostBluesky

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Compositional Data Analysis using Kernels in Mass Cytometry Data

Pratyaydipta Rudra, Ryan Michael Baxter, Elena W.Y. Hsieh, Debashis Ghosh

The paper introduces CODAK, a method for analyzing compositional mass cytometry data to test associations with predictors, showing good performance on small samples and applied to SLE data.

4 citations

humanmultiome

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