Author

Jason Li

Peter MacCallum Cancer CentreORCID 0000-0002-1150-3549Unclaimed ORCID profile · follow to get notified of new preprints

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Jason Li1 paper

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Richard LupatiD· 2 shared ANDREW P. FELLOWESiD· 1 shared David YoannidisiD· 1 shared Ella R. ThompsoniD· 1 shared Kaylene J. SimpsoniD· 1 shared Kenneth DoigiD· 1 shared Laura TwomeyiD· 1 shared Michelle MeieriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Richard LupatORCID

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2 papers

Recent·Most cited

Using Artificial Intelligence (AI) to Model Clinical Variant Reporting for Next Generation Sequencing (NGS) Oncology Assays

Kenneth Doig, Rashindrie D Perera, Yamuna Kankanige, ANDREW P. FELLOWES, Jason Li, Richard Lupat, Ella R. Thompson, Piers A. Blombery, Stephen B. Fox

This paper builds machine learning models to predict clinically reportable variants from NGS oncology assays, achieving high precision and recall.

BioData Mining · Oct 29, 2025Peer-reviewedGenetic & Genomic Medicine

macpie: scalable workflow for high-throughput transcriptomic profiling

Nenad Bartoniček, Xin Liu, Laura Twomey, Michelle Meier, Richard Lupat, Stuart Craig, David Yoannidis, Jason Li, Timothy J. Semple, Kaylene J. Simpson, Xiang Li, Susanne Ramm

macpie streamlines analysis of high-throughput transcriptomic profiling data from plate-based screens using R, integrating preprocessing, quality control, and multimodal data integration.

Computational and Structural Biotechnology Journal · Jan 1, 2025Peer-reviewedBioinformatics