Author

Zhouyang Lian

ORCID 0000-0003-1782-5343Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Assay:scRNA-seq· 1

Frequent Co-Authors

Andreja Jovic· 2 shared Christian Corona· 2 shared Evelyn LattmanniD· 2 shared Kiran Saini· 2 shared Manisha Ray· 2 shared Mitchell Paul LevesqueiD· 2 shared Stéphane C. Boutet· 2 shared Tiffine PhamiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersCancer Biology

Andreja Jovic

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintJan 22, 2025

Deep learning-driven morphology analysis enables label-free classification of therapeutic agent- naive versus resistant cancer cells

Cyril Y. Ramathal, Kiran Saini, Zhouyang Lian…·Andreja Jovic

This study uses deep learning to classify drug-naive and resistant cancer cells based on morphology, achieving high accuracy across multiple cancer types and drug classes.

1 citation

𝕏 PostBluesky

Cancer BiologybioRxivPreprintJun 28, 2024

Label-Free Melanoma Phenotype Classification Using Artificial Intelligence-Based Morphological Profiling

Evelyn Lattmann, Andreja Jovic, Julie J. Kim…·Mitchell P. Levesque

This paper develops an AI-based classifier to classify melanoma cell phenotypes using morphology, validated by scRNA-Seq, showing morphology correlates with phenotypic states.

2 citations

𝕏 PostBluesky