Author

Ojasvi Jain

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Molecular Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew P. LeisiD· 1 shared Edward YangiD· 1 shared Hariprasad VenugopaliD· 1 shared Joseph D. BerryiD· 1 shared Julie IskanderiD· 1 shared Mansi Aggarwal· 1 shared Mihin PereraiD· 1 shared Shabih ShakeeliD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperMolecular Biology

Andrew P. LeisORCID

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1 paper

Recent·Most cited

PartiNet is a dynamic adaptive neural network for high-performance particle picking in cryo-electron microscopy

Mihin Perera, Winnie Tan, Edward Yang, Ojasvi Jain, Mansi Aggarwal, Hariprasad Venugopal, Julie Iskander, Joseph D. Berry, Andrew P. Leis, Shabih Shakeel

PartiNet improves particle picking in cryo-EM with a dynamic neural network that adapts to micrograph quality, enhancing efficiency and particle yield without sacrificing accuracy.

bioRxiv · Jan 23, 2026 · PreprintMolecular Biology