Author

Prabuddha Ghosh Dastidar

Johns Hopkins UniversityORCID 0009-0005-4528-2333Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexis J. BattleiD· 1 shared Gus Fridell· 1 shared Joshua M PoppiD· 1 shared Marios ArvanitisiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alexis J. BattleORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintNov 23, 2025

Prior knowledge informs graph neural networks to improve phenotype prediction from proteomics

Prabuddha Ghosh Dastidar, Gus Fridell, Joshua M Popp…·Alexis J. Battle

The paper develops a graph neural network framework that integrates biological knowledge to predict phenotypes from proteomics data, outperforming linear models and other architectures.

DOI 10.1101/2025.11.23.25340814

humanproteomics

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