Author

Roopali Singh

Pennsylvania State UniversityORCID 0000-0001-6539-6622Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Organism:human· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Qunhua LiiD· 2 shared A Park· 1 shared Feipeng ZhangiD· 1 shared Ross C. HardisoniD· 1 shared Xi HeiD· 1 shared Xiang ZhuiD· 1 shared Xinyue WangiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Qunhua LiORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedJul 24, 2026

RETROFIT: REFERENCE-FREE DECONVOLUTION OF CELL-TYPE MIXTURES IN SPATIAL TRANSCRIPTOMICS

Roopali Singh, Xi He, Xinyue Wang…·Qunhua Li

RETROFIT deconvolves cell-type mixtures in spatial transcriptomics without requiring references, outperforming existing methods and matching reference-based approaches when references are imperfect.

6 citations

spatial transcriptomicsBayesian inference

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BioinformaticsStatistics in MedicinePeer-reviewedFeb 17, 2022

Assessing Reproducibility of High-throughput Experiments in the Case of Missing Data.

Roopali Singh, Feipeng Zhang, Qunhua Li

This paper develops a regression model to assess how operational factors affect reproducibility in high-throughput experiments with missing data, showing improved accuracy over existing methods.

9 citations

humanscRNA-seq

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