Author

Charles S. Comiter

Broad InstituteORCID 0000-0003-4201-1739Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Assay:spatial transcriptomics· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:Hi-C· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Eeshit Dhaval VaishnaviD· 2 shared Alvaro Quintanal Villalonga· 1 shared Angeliki KaratzaiD· 1 shared Åsa SegerstolpeiD· 1 shared Aviv RegeviD· 1 shared Bo LiiD· 1 shared Boudewijn P. F. LelieveldtiD· 1 shared Brian D. AevermanniD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Eeshit Dhaval VaishnavORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 21, 2023

Inference of single cell profiles from histology stains with the Single-Cell omics from Histology Analysis Framework (SCHAF)

Charles S. Comiter, Xingjian Chen, Eeshit Dhaval Vaishnav…·Aviv Regev

SCHAF generates spatially resolved single-cell transcriptomes from H&E histology images using vision transformers and adversarial learning, showing good agreement with ground-truth data.

34 citations

humanmouse

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BioinformaticsbioRxivPreprintMar 28, 2022

Reference-based cell type matching of spatial transcriptomics data

Yun Zhang, Jeremy A. Miller, Jeongbin Park…·Richard H. Scheuermann

This study evaluates six algorithms for cell type matching in spatial transcriptomics data and presents consensus strategies for improved analysis.

5 citations

mousespatial transcriptomics

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