Author

Julie Iskander

The University of MelbourneORCID 0000-0002-3426-4376Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1

Frequent Co-Authors

Anthony T. PapenfussiD· 2 shared Edward YangiD· 2 shared Andrew P. LeisiD· 1 shared Andrew P. ThompsoniD· 1 shared Chen Zhan· 1 shared Dharmesh Dinesh BhuvaiD· 1 shared Dylan SilkeiD· 1 shared Hariprasad VenugopaliD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Anthony T. PapenfussORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

cellNexus: Quality control, annotation, aggregation and analytical layers for the Human Cell Atlas data

Mengyuan Shen, Yingnan Gao, Ning Liu, Dharmesh Dinesh Bhuva, Michael Milton, Juan Henao, Jared M. Andrews, Edward Yang, Chen Zhan, Nora Liu, Susan Si, William J. Hutchison, Muhammad Haroon Shakeel, Martin T. Morgan, Anthony T. Papenfuss, , Stefano Mangiola

cellNexus enhances Human Cell Atlas data by adding quality control, metadata, normalization, and analysis layers to enable multi-study analyses and large-scale biological discovery.

bioRxiv · May 5, 2026 · PreprintBioinformatics

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

ProteinDJ: a high-performance and modular protein design pipeline

Dylan Silke, Julie Iskander, Junqi Pan, Andrew P. Thompson, Anthony T. Papenfuss, Isabelle S. Lucet, Joshua M. Hardy

ProteinDJ is a high-performance protein design pipeline that enables efficient generation and testing of synthetic protein binders using HPC systems.

Protein Science · Jan 21, 2026Peer-reviewedBioinformatics