Author

Radhika Sonthalia

Agency for Science, Technology and ResearchORCID 0009-0007-0992-871XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Research Focus:database / resource· 2 Research Focus:differential expression· 2 Research Focus:clustering· 1

Frequent Co-Authors

Eliora Violain BuyaminiD· 3 shared Jay W. ShiniD· 3 shared Kian Hong KockiD· 3 shared Shyam PrabhakariD· 3 shared Woong‐Yang ParkiD· 3 shared Yoshinari AndoiD· 3 shared Akari SuzukiiD· 2 shared Alexandra–Chloé VillaniiD· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Eliora Violain BuyaminORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 21, 2026

A Community-Driven Single-Cell PBMC Reference Integrating Landmark Datasets Spanning Health and Disease

Ana-Maria Cujba, Sergio Aguilar-Fernández, Adrien Antoinette…·Gary Reynolds

HARP integrates PBMC data from multiple studies to create a reference atlas with consensus annotations and identifies age, sex, and disease-related cellular modules.

DOI 10.64898/2026.09.21.749940

humanscRNA-seq

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GenomicsbioRxivPreprintJun 30, 2024

Single-cell analysis of human diversity in circulating immune cells

Kian Hong Kock, Le Min Tan, Kyung Yeon Han…·Shyam Prabhakar

The paper presents AIDA, a diverse single-cell RNA-seq atlas of immune cells, revealing sub-continental diversity impacts on immune cell properties and identifying functional genetic variants.

8 citations

humanscRNA-seq

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GenomicsbioRxivPreprintOct 14, 2023

Quantification of escape from X chromosome inactivation with single-cell omics datasets reveals heterogeneity across cell types and tissues

Yoshihiko Tomofuji, Ryuya Edahiro, Yuya Shirai…·Yukinori Okada

The paper introduces scLinaX, a method to quantify X chromosome inactivation escape using scRNA-seq, revealing heterogeneity across cell types and tissues.

8 citations

humanscRNA-seq

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