Author

Muhammad Javad Heydari

UNSW SydneyORCID 0000-0003-3300-174XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bryan Lye· 1 shared Fatemeh VafaeeiD· 1 shared Hermione E AlleniD· 1 shared James McKenna· 1 shared John George LockiD· 1 shared Kavya Pamulapati· 1 shared Kaylene J Simpson· 1 shared Parvin Mansouri· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Bryan Lye

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 5, 2025

Uncertainty-Aware Deep Learning for Multi-Metric and Dose-Specific Prediction of Drug Synergy

Muhammad Javad Heydari, Bryan Lye, Parvin Mansouri…·Fatemeh Vafaee

AlgoraeOS predicts drug synergy with dose-specific inhibition profiles and uncertainty estimates, achieving strong performance across diverse tissues and drug mechanisms.

DOI 10.1101/2025.11.05.686895

proteomicsdeep learning

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