Author

Abraham Meidan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Alona Rabner· 1 shared Assaf Avrahami· 1 shared Carmit LevyiD· 1 shared Eitan RubiniD· 1 shared Guy HoreviD· 1 shared Ilya Vorobyov· 1 shared Nadav ElkoshiiD· 1 shared Sajeda Mahameed· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenetics

Alona Rabner

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintNov 11, 2025

Machine Learning Identifies Common Risk Variants and Implicates Abnormal Vision Physiology in ASD

Alona Rabner, Assaf Avrahami, Abraham Meidan…·Guy Horev

The paper uses machine learning to identify common risk variants associated with ASD and links them to abnormal eye physiology.

DOI 10.1101/2025.11.11.687806

humanGWAS summary statistics

𝕏 PostBluesky

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

𝕏 PostBluesky