Author

Chintan Parmar

PathAI (United States)ORCID 0000-0002-2140-814XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Amaro N Taylor-WeineriD· 1 shared Archit KhoslaiD· 1 shared Artur SzałataiD· 1 shared Audrey KauffmanniD· 1 shared Bahar RahsepariD· 1 shared Dinkar Juyal· 1 shared Eric Y. Durand· 1 shared Gang LiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Amaro N Taylor-WeinerORCID

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2 papers

Recent·Most cited

Cancer BiologyModern PathologyPeer-reviewedApr 11, 2025

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…·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.

11 citations

humanimaging

BioinformaticsScience AdvancesPeer-reviewedJan 17, 2025

Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts and clinical tumors using deep learning

Slavica Dimitrieva, Rens Janssens, Gang Li…·Eric Y. Durand

MOBER integrates transcriptomic data from cancer cell lines, xenografts, and clinical tumors using deep learning to remove batch effects and improve clinical translatability.

5 citations

humanbulk RNA-seq