Author

Dima Kagan

Ben-Gurion University of the NegevORCID 0000-0002-8216-8776Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1

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Esti Yeger‐LotemiD· 1 shared Juman JubraniD· 1 shared Michael FireiD· 1 shared

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1 shared paperBioinformatics

Esti Yeger‐LotemORCID

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1 paper

Recent·Most cited

BioinformaticsGigaSciencePeer-reviewedJan 1, 2025

Network-based anomaly detection algorithm reveals proteins with major roles in human tissues

Dima Kagan, Juman Jubran, Esti Yeger‐Lotem, Michael Fire

The paper introduces WGAND, a network-based anomaly detection method for weighted graphs, which identifies proteins with major roles in human tissues by analyzing protein interaction networks.

7 citations

humanprotein structure

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