Author

Sikta Das Adhikari

Michigan State UniversityORCID 0009-0006-2433-8200Unclaimed 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:clustering· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Jianrong WangiD· 2 shared Yuehua CuiiD· 2 shared Brian K. TheiseniD· 1 shared Nina G. SteeleiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersGenomics

Jianrong WangORCID

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2 papers

Recent·Most cited

GenomicsNucleic Acids ResearchPeer-reviewedSep 23, 2025

SPACE: Spatially variable gene clustering adjusting for cell type effect for improved spatial domain detection.

Sikta Das Adhikari, Nina G. Steele, Brian K. Theisen…·Yuehua Cui

SPACE improves spatial domain detection by clustering spatially variable genes while adjusting for cell type effects without requiring prior knowledge of clusters or cell types.

2 citations

spatial transcriptomicsstatistical model

𝕏 PostBluesky

GeneticsBriefings in BioinformaticsPeer-reviewedMar 27, 2024

BayesKAT: Bayesian Optimal Kernel-based Test for genetic association studies reveals joint genetic effects in complex diseases

Sikta Das Adhikari, Yuehua Cui, Jianrong Wang

BayesKAT is a Bayesian framework for genetic association studies that identifies joint genetic effects in complex diseases by adaptively selecting optimal kernels.

DOI 10.1093/bib/bbae182

humanGWAS summary statistics

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