Author

Kaushik Karambelkar

University of Illinois Urbana-ChampaignORCID 0000-0002-6372-7843Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Arvind RaoiD· 1 shared Mayank BaranwaliD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Arvind RaoORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 23, 2025

STING: A Graph Neural Network Approach for Computational Inference of Spatial Transcriptomic Profiles

Kaushik Karambelkar, Arvind Rao, Mayank Baranwal

STING uses graph neural networks to predict spatial gene expression from histological images, achieving high accuracy in spatial transcriptomics inference.

DOI 10.1101/2025.04.23.650236

spatial transcriptomicsgraph neural network

𝕏 PostBluesky