Author

Reshef Mintz

Hebrew University of JerusalemORCID 0009-0008-8987-4711Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Barak RavehiD· 2 shared Jonathan KariniD· 1 shared Mor NitzaniD· 1 shared Roee Lieberman· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Barak RavehORCID

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2 papers

Recent·Most cited

BioinformaticsNature Computational SciencePeer-reviewedDec 4, 2024

Interpreting single-cell and spatial omics data using deep networks training dynamics

Jonathan Karin, Reshef Mintz, Barak Raveh, Mor Nitzan

This paper introduces Annotatability, a method that uses deep network training dynamics to identify and correct ambiguous cell annotations in single-cell and spatial omics data.

16 citations

scRNA-seqspatial transcriptomics

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Systems BiologybioRxivPreprintNov 7, 2021

Bayesian Metamodeling of pancreatic islet architecture and functional dynamics

Roee Lieberman, Reshef Mintz, Barak Raveh

The paper develops a Bayesian metamodel of pancreatic islet architecture and function by integrating imaging and physiological data with probabilistic graphical models and automation tools.

1 citation

humanimaging

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