Author

David L. Rimm

Yale UniversityORCID 0000-0001-5820-4397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell-cell communication· 3 Approach:deep learning· 3 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Jeffrey H. ChuangiD· 2 shared Kourosh ZarringhalamiD· 2 shared Saman FarahmandiD· 2 shared Aileen I. FernandeziD· 1 shared Ali Foroughi pouriD· 1 shared Dennis L. CaruanaiD· 1 shared Emily ReisenbichleriD· 1 shared Fahad Shabbir AhmediD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Jeffrey H. ChuangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 30, 2023

SORBET: Automated cell-neighborhood analysis of spatial transcriptomics or proteomics for interpretable sample classification via GNN

Shay Shimonov, Joseph M Cunningham, Ronen Talmon…·Yuval Kluger

SORBET uses geometric deep learning to predict phenotypes from spatial transcriptomics and proteomics data, showing improved accuracy over existing methods.

6 citations

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsModern PathologyPeer-reviewedSep 7, 2021

Deep learning trained on H&E tumor ROIs predicts HER2 status and Trastuzumab treatment response in HER2+ breast cancer

Saman Farahmand, Aileen I. Fernandez, Fahad Shabbir Ahmed…·Kourosh Zarringhalam

This paper presents a CNN that predicts HER2 status and trastuzumab response from H&E images with higher accuracy than IHC.

167 citationstop 2%

humanimaging

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedDec 11, 2020

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Javad Noorbakhsh, Saman Farahmand, Ali Foroughi pour…·Jeffrey H. Chuang

This paper uses CNNs to classify and compare histopathological images across cancer types, revealing conserved spatial patterns and mutation-related features.

206 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky