Author

Yuval Yogev

Ben-Gurion University of the NegevORCID 0000-0002-2218-9938Unclaimed 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

Frequent Co-Authors

Ayellet V. SegrèiD· 1 shared Chanan M ArgoviD· 1 shared Ekaterina VinogradoviD· 1 shared Esti Yeger‐LotemiD· 1 shared Eyal SimonovskyiD· 1 shared Hae Kyung ImiD· 1 shared Idan HekselmaniD· 1 shared Juman JubraniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Ayellet V. SegrèORCID

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1 paper

Recent·Most cited

A tissue-aware machine learning framework enhances the mechanistic understanding and genetic diagnosis of Mendelian and rare diseases

Eyal Simonovsky, Moran Sharon, Maya Ziv, Omry Mauer, Idan Hekselman, Juman Jubran, Ekaterina Vinogradov, Chanan M Argov, Omer Basha, Lior Kerber, Yuval Yogev, Ayellet V. Segrè, Hae Kyung Im, Ohad S. Birk, Lior Rokach, Esti Yeger‐Lotem

This paper introduces a tissue-aware machine learning framework to improve understanding and diagnosis of Mendelian and rare diseases by leveraging tissue-specific gene mechanisms.

Molecular Systems Biology · May 26, 2023Peer-reviewedGenetics