Author

Mulini Pingili

AbbVie (United States)

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

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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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 Shweta Yadav· 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

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3 shared papersBioinformatics

Dan ChangORCID

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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