Author

Mark‐Anthony Bray

Broad InstituteORCID 0000-0002-9748-3592Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Amy Q. WangiD· 1 shared Andrew G. ReidenbachiD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Antoine de WeckiD· 1 shared Brian Erickson· 1 shared Craig Braun· 1 shared Daniel A. SpragueiD· 1 shared Daniela Gabriel· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperNeuroscience

Amy Q. WangORCID

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Author profile →

4 papers

Recent·Most cited

Phenotypic screening for small molecules that lower PrP in cultured cells

Jeannine A. Frei, Andrew G. Reidenbach, Leo MH Xu, Raja Mohan Gopalakrishnan, Dominick Casalana, Daniel A. Sprague, Mark A. Bray, Amy Q. Wang, Vanessa Laversenne, Brian Erickson, Craig Braun, Samarjit Patnaik, Mckenzie Hall, Douglas S. Auld, Sonia M. Vallabh

The paper identifies two small molecules that lower PrP levels in cultured cells but show limited activity in human cell lines and in vivo.

Molecular and Cellular Neuroscience · Jul 9, 2026Peer-reviewedNeuroscience

Use of machine learning for quantification of retinal pigment epithelium tight junctions improves assay sensitivity

Yan Gao, Mark‐Anthony Bray, Michael Twarog, YongYao Xu, Natasha M. Buchanan, Yiyun Zhang, Quintus G. Medley, Magali Saint‐Geniez, Ganesh Prasanna, Qin Zhang

This paper develops a machine learning method to quantify ZO-1 changes in RPE cells, improving assay sensitivity for detecting TJ aberrations in AMD-related treatments.

bioRxiv · May 24, 2024 · PreprintBioinformatics

High-content cellular screen image analysis benchmark study

Mark‐Anthony Bray, Antoine de Weck, Eric Durand, Jian Chen Fang, Daniela Gabriel, Rens Janssens, Ioannis K. Moutsatsos, Stephan Spiegel, Xian Zhang

This study benchmarks deep learning and feature engineering methods for analyzing high-content microscopy images to predict phenotypes and cluster cells without manual annotations.

bioRxiv · May 15, 2022 · PreprintBioinformatics

Systematic morphological profiling of human gene and allele function reveals Hippo-NF-κB pathway connectivity

Mohammad Hossein Rohban, Shantanu Singh, Xiaoyun Wu, Julia Hicks‐Berthet, Mark‐Anthony Bray, Yashaswi Shrestha, Xaralabos Varelas, Jesse S. Boehm, Anne Elizabeth Carpenter

The paper uses morphological profiling to identify gene function and connectivity, revealing TRAF2/C-REL's negative regulation of Hippo pathway effectors.

eLife · Mar 18, 2017Peer-reviewedSystems Biology