Author

Rhea Pai

Agency for Science, Technology and Research

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· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Approach:deep learning· 1

Frequent Co-Authors

Ankur SharmaiD· 3 shared Archita MishraiD· 2 shared Florent GinhouxiD· 2 shared Jerry Kok Yen ChaniD· 2 shared Atefeh Khakpoor· 1 shared Bicheng Yang· 1 shared Brian K. P. GohiD· 1 shared Costerwell KhyriemiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Ankur SharmaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Charting spatial ligand-target activity using Renoir

Narein Rao, Tanush Kumar, Dina Kazemi, Shaozhi Hou, Atefeh Khakpoor, Merrin Mary Eapen, Rhea Pai, Liang Qiao, Archita Mishra, Florent Ginhoux, Jerry Kok Yen Chan, Jacob George, Ankur Sharma, Hamim Zafar

Renoir maps ligand-target activities across spatial topologies and identifies context-specific cell-cell interactions from spatial transcriptomics data.

Nature Communications · May 5, 2026Peer-reviewedBioinformatics

STOmics-GenX: CRISPR based approach to improve cell identity specific gene detection from spatially resolved transcriptomics

Jennifer Currenti, Liang Qiao, Rhea Pai, Saurabh Gupta, Costerwell Khyriem, Kellie Wise, Xiaohuan Sun, Jon R. Armstrong, Jordan Crane, Smita Pathak, Bicheng Yang, Jacob George, Jasmine Plummer, Luciano Gastón Martelotto, Ankur Sharma

STOmics-GenX improves gene detection in spatial transcriptomics by integrating CRISPRclean with Stereo-seq, enhancing cell type annotation and biomarker identification in hepatocellular carcinoma.

bioRxiv · Dec 8, 2022 · PreprintMolecular Biology

scRNA-seq reveals ACE2 and TMPRSS2 expression in TROP2+ Liver Progenitor Cells: Implications in COVID-19 associated Liver Dysfunction

Justine Jia Wen Seow, Rhea Pai, Archita Mishra, Edwin Shepherdson, Tony Kiat Hon Lim, Brian K. P. Goh, Jerry Kok Yen Chan, Pierce K. H. Chow, Florent Ginhoux, Ramanuj DasGupta, Ankur Sharma

The paper uses scRNA-seq to identify TROP2+ liver progenitor cells co-expressing ACE2 and TMPRSS2, suggesting they may be targets for SARS-CoV-2 infection and contribute to COVID-19-associated liver dysfunction.

Frontiers in Medicine · Apr 22, 2021Peer-reviewedGenomics