Author

V. Prabhakar

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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Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

K. Liu· 2 shared

Activity by Year

2023-2023 · peak 2/yr

2 papers

Recent·Most cited

VLIB: Unveiling insights through Visual and Linguistic Integration of Biorxiv data relevant to cancer via Multimodal Large Language Model

K. Liu, V. Prabhakar

This paper introduces VLIB, a dataset of scientific figures and captions from cancer biology preprints, and evaluates MLLMs on vision-language tasks using it.

bioRxiv · Oct 31, 2023 · PreprintCancer Biology

Integrating cellular graph embeddings with tumor morphological features to predict in-silico spatial transcriptomics from H&E images

K. Liu, V. Prabhakar

The paper develops a deep learning method to predict spatial transcriptomics data from H&E images using graph neural networks and Vision Transformers, identifying 250 breast cancer-related genes.

bioRxiv · Oct 31, 2023 · PreprintPathology