Author

Jane Foo

University of British Columbia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

Nada LallousiD· 2 shared Anne M. HaegertiD· 1 shared Artem R CherkasoviD· 1 shared Colin C. CollinsiD· 1 shared Emirhan TekogluiD· 1 shared Jennifer M. BuiiD· 1 shared Jiaying YouiD· 1 shared Jörg A. GsponeriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Nada LallousORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular InformaticsPeer-reviewedApr 1, 2025

Deep Modeling of Gain of Function Mutations on Androgen Receptor

Jiaying You, Jane Foo, Nada Lallous, Artem R Cherkasov

This study uses deep modeling to predict gain-of-function mutations in the androgen receptor and their drug responses, achieving 80% accuracy in identifying agonist/antagonist relationships.

DOI 10.1002/minf.202500018

humandeep learning

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJan 8, 2025

AR-V7 condensates drive androgen-independent transcription in castration resistant prostate cancer

Shabnam Massah, Nicholas C. Pinette, Jane Foo…·Nada Lallous

This study shows AR-V7 forms condensates independently of androgens and AR-FL in CRPC, driving oncogenic transcription through both condensate-dependent and -independent mechanisms.

DOI 10.1101/2025.01.08.631986

humanbulk RNA-seq

𝕏 PostBluesky