Author

Zitong Chen

Broad InstituteORCID 0009-0009-4335-9922Unclaimed 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

Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anne Elizabeth CarpenteriD· 2 shared Beth A. CiminiiD· 2 shared Erin WeisbartiD· 2 shared Jessica EwaldiD· 2 shared Marzieh HaghighiiD· 2 shared Nikita MoshkoviD· 2 shared Shantanu SinghiD· 2 shared Abbye E. McEweniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 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 papersGenomics

Anne Elizabeth CarpenterORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsbioRxivPreprintFeb 23, 2026

A scalable approach to resolving variants of uncertain significance

Malvika Tejura, Y P Chen, Abbye E. McEwen…·Lea M. Starita

The paper develops a scalable workflow to reclassify variants of uncertain significance using experimental and predictive evidence, resolving 75% of VUS in 40 genes.

4 citations

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsNature MethodsPeer-reviewedAug 1, 2025

Morphological map of under- and over-expression of genes in human cells

Srinivas Niranj Chandrasekaran, Eric Alix, John Arévalo…·Anne Elizabeth Carpenter

The paper presents a comprehensive genetic perturbation dataset using Cell Painting to analyze gene expression effects in human cells, revealing novel gene clusters and functional relationships.

17 citationstop 3%

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 16, 2023

Unbiased single-cell morphology with self-supervised vision transformers

Michael Doron, Théo Moutakanni, Zitong Chen…·Juan C. Caicedo

Self-supervised DINO features, learned without labels, describe cell morphology from subcellular detail to experimental groups and expose a hierarchy of biological and technical variation in three public datasets.

46 citations

imagingdeep learning

𝕏 PostBluesky