Author

Yair Hanani

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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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Jean Tori PanteliD· 2 shared Martin A. MensahiD· 2 shared Max ZhaoiD· 2 shared Nicole FleischeriD· 2 shared Nurulhuda HajjiriD· 2 shared Peter Michael KrawitziD· 2 shared Stefan MundlosiD· 2 shared Tom KamphansiD· 2 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Jean Tori PantelORCID

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Author profile →

2 papers

Recent·Most cited

PEDIA: Prioritization of Exome Data by Image Analysis

Tzung‐Chien Hsieh, Martin A. Mensah, Jean Tori Pantel, Dione Aguilar, Omri Bar, Allan Bayat, Luis Eduardo Becerra-Solano, Heidi Beate Bentzen, Saskia Biskup, Oleg Borisov, Øivind Braaten, Claudia Ciaccio, Marie Coutelier, Kirsten Cremer, Magdalena Danyel, , Peter Michael Krawitz

The paper introduces an AI-driven method that uses facial images to prioritize exome data, achieving 99% top-10 accuracy in identifying disease-causing genes.

Genetics in Medicine · Jun 4, 2019Peer-reviewedBioinformatics

Advances in computer-assisted syndrome recognition and differentiation in a set of metabolic disorders

Jean Tori Pantel, Max Zhao, Martin A. Mensah, Nurulhuda Hajjir, Tzung‐Chien Hsieh, Yair Hanani, Nicole Fleischer, Tom Kamphans, Stefan Mundlos, Yaron Gurovich, Peter Michael Krawitz

This paper evaluates deep learning for syndrome recognition in metabolic disorders, finding improved accuracy with larger training sets but no significant effect from ethnicity or sex.

Journal of Inherited Metabolic Disease · Apr 5, 2018Peer-reviewedGenetics