Author

Erol Bayraktar

Rockefeller UniversityORCID 0000-0002-2950-0215Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:metabolomics· 1

Frequent Co-Authors

Adam Rubens· 1 shared Alcida KarziD· 1 shared Andrew L. CangelosiiD· 1 shared Andrey Rubanov· 1 shared Aristotelis TsirigosiD· 1 shared Arman Alberto Sorin Shadaloey· 1 shared Caroline A. LewisiD· 1 shared Ceren ÖzerdemiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

Adam Rubens

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 7, 2023

MetFinder: a neural network-based tool for automated quantitation of metastatic burden in histological sections from animal models

Alcida Karz, Nicolas Coudray, Erol Bayraktar…·Eva Hernando

MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.

DOI 10.1101/2023.09.07.555360

mouseimaging

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Molecular BiologyProceedings of the National Academy of SciencesPeer-reviewedDec 12, 2018

MITO-Tag Mice enable rapid isolation and multimodal profiling of mitochondria from specific cell types in vivo

Erol Can Bayraktar, Lou Baudrier, Ceren Özerdem…·Walter W. Chen

The paper introduces MITO-Tag Mice to isolate mitochondria from specific cell types in vivo and identifies mitochondrial metabolite changes during fasting and refeeding in hepatocytes.

111 citations

mousemetabolomics

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