Author

Yair Sadaka

Ben-Gurion University of the NegevORCID 0000-0002-4022-4020Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Analya MichaelovskiiD· 2 shared Gal MeiriiD· 2 shared Idan MenasheiD· 2 shared Ilan DinsteiniD· 2 shared Adi Avniel AraniD· 1 shared Andrei SharfiD· 1 shared Apurba ShiliD· 1 shared Aviv Slobodkin· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Analya MichaelovskiORCID

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Author profile →

2 papers

Recent·Most cited

Automated identification and quantification of stereotypical movements from video recordings of children with ASD

Tal Barami, Liora Manelis, Hadas Kaiser, Michal Ilan, Aviv Slobodkin, Ofri Hadashi, Dor Hadad, Danel Waissengreen, Tanya Nitzan, Idan Menashe, Analya Michaelovski, Michal Begin, Ditza A. Zachor, Yair Sadaka, Judah Koler, , Ilan Dinstein

This paper introduces an AI algorithm to automatically identify and quantify stereotypical motor movements in children with ASD using video data, achieving high correlation with manual annotations.

bioRxiv · Mar 2, 2024 · PreprintNeuroscience

Comparison of three bioinformatics tools in the detection of ASD candidate variants from whole exome sequencing data

Apurba Shil, Liron Levin, Hava M. Golan, Gal Meiri, Analya Michaelovski, Yair Sadaka, Adi Avniel Aran, Ilan Dinstein, Idan Menashe

The paper compares three bioinformatics tools for detecting ASD candidate variants from whole-exome sequencing data and finds that combining tools improves detection.

Scientific Reports · Nov 1, 2023Peer-reviewedGenetic & Genomic Medicine