Author

Edward Yang

Walter and Eliza Hall Institute of Medical ResearchORCID 0009-0004-5881-0695Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Edward Yang3 papers · University of Washington

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Approach:deep learning· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Julie IskanderiD· 2 shared Andrew P. LeisiD· 1 shared Anthony T. PapenfussiD· 1 shared Belinda PhipsoniD· 1 shared Chen Zhan· 1 shared Claire MarceauxiD· 1 shared Daniel BateyiD· 1 shared Dharmesh Dinesh BhuvaiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Julie IskanderORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 5, 2026

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

Mengyuan Shen, Yingnan Gao, Ning Liu…·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.

1 citation

𝕏 PostBluesky

Cancer BiologyCell Reports MedicinePeer-reviewedFeb 1, 2026

TNF-mediated myeloid-instructed CD14+CD4+ T cells within the tumor microenvironment are associated with poor survival in non-small cell lung cancer.

Claire Marceaux, Ilariya Tarasova, Daniel Batey…·Marie-Liesse Asselin-Labat

The paper identifies CD14+CD4+ T cells in NSCLC tumor microenvironment driven by TNF, linked to poor patient survival.

1 citation

humanspatial transcriptomics

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Molecular BiologybioRxivPreprintJan 23, 2026

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

Mihin Perera, Winnie Tan, Edward Yang…·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.

2 citations

electronic health recordsdeep learning

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