Author

Nadav Elkoshi

Tel Aviv UniversityORCID 0000-0003-4546-2922Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Abraham Meidan· 1 shared Carmit LevyiD· 1 shared Eitan RubiniD· 1 shared Sajeda Mahameed· 1 shared Shivang ParikhiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Abraham Meidan

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 4, 2023

Binary classification machine-learning Unveils Sex-Dependent mutated gene Signatures in Melanoma

Nadav Elkoshi, Shivang Parikh, Sajeda Mahameed…·Carmit Levy

The paper uses binary classification machine learning to identify sex-dependent mutation signatures in melanoma, finding genes like LAMA2 and TPTE that predict patient sex and survival.

1 citation

humanwhole-exome sequencing

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