Author

Shweta Yadav

AbbVie (United States)Primary ORCID profile (0000-0001-9760-3382 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Shweta YadaviD4 papers · University of Pittsburgh

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Dan ChangiD· 3 shared Mulini Pingili· 3 shared J. Wang· 1 shared Jing WangiD· 1 shared Jing WangiD· 1 shared Kathleen M. SmithiD· 1 shared Michael P. MacorittoiD· 1 shared Naim Al MahiiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Dan ChangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Characterizing cellular subpopulations critical to treatment response in autoimmune diseases

Siqi Sun, Mulini Pingili, Shweta Yadav, Zhuoya Wan, Michael P. Macoritto, Kathleen M. Smith, J. Wang, Dan Chang, Naim Al Mahi

The paper identifies treatment response-associated cell subpopulations in autoimmune diseases by integrating single-cell and bulk data from IBD and PsO patients, revealing key pathways and cell types involved in response or non-response.

bioRxiv · Jan 5, 2026 · PreprintImmunology

scCompare: a web app for single-cell RNA sequencing dataset comparisons across multiple auto-immune diseases

Shweta Yadav, Pranav Sahasrabudhe, Mulini Pingili, Dan Chang, Jing Wang

scCompare provides a web tool for comparing scRNA-seq datasets across autoimmune diseases to identify and analyze differential gene expression and pathogenesis.

bioRxiv · Feb 4, 2025 · PreprintBioinformatics

Estimating the effect of tissue- and blood-derived cell reference matrices on deconvolving bulk transcriptomic datasets

Siqi Sun, Shweta Yadav, Mulini Pingili, Dan Chang, Jing Wang

This study evaluates the impact of tissue- and blood-derived reference matrices on deconvolving bulk transcriptomic datasets, finding tissue-derived matrices perform better for tissue samples but not for blood.

Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedBioinformatics