Author

Limin Yu

PathAI (United States)

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Amaro N Taylor-WeineriD· 1 shared Archit KhoslaiD· 1 shared Bahar RahsepariD· 1 shared Chintan ParmariD· 1 shared Dinkar Juyal· 1 shared Harshith Pagidela· 1 shared Jacqueline A. Brosnan‐CashmaniD· 1 shared John Abel· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Amaro N Taylor-WeinerORCID

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1 paper

Recent·Most cited

Spatial mapping of immunosuppressive cancer-associated fibroblast gene signatures in H&E-stained images using additive multiple instance learning

Miles Markey, Juhyun Kim, Zvi Goldstein, Ylaine Gerardin, Jacqueline A. Brosnan‐Cashman, Syed Ashar Javed, Dinkar Juyal, Harshith Pagidela, Limin Yu, Bahar Rahsepar, John Abel, Stephanie R. Hennek, Archit Khosla, Amaro N Taylor-Weiner, Chintan Parmar

This paper introduces aMIL, a machine learning method that predicts CAF gene signatures from H&E images, revealing spatial patterns linked to immunosuppression in tumors.

Modern Pathology · Apr 11, 2025Peer-reviewedCancer Biology