Author

Y. Benjamini

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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Biochemistry· 1 Bioengineering· 1 Genomics· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:eQTL / molecular QTL mapping· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Gomez-Marin· 1 shared A. Jasinska· 1 shared A. Mirelman· 1 shared C. Bearden· 1 shared C. López-Jaramillo· 1 shared C. Peterson· 1 shared C. Sabatti· 1 shared D. Eilam· 1 shared

Activity by Year

2015-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperScientific Communication & Education

A. Gomez-Marin

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4 papers

Recent·Most cited

A novel performance scoring quantification framework for stress test set-ups

T. Kozlovski, J. M. Hausdorff, O. Davidov, N. Giladi, A. Mirelman, Y. Benjamini

The paper introduces a machine learning framework to quantify stress test performance, showing improved discrimination between neurodegeneration and controls with an AUC of 84.35.

bioRxiv · Dec 21, 2022 · PreprintBioengineering

BitterMatch: Recommendation systems for matching molecules with bitter taste receptors

E. Margulis, Y. Slavutsky, T. Lang, M. Behrens, Y. Benjamini, M. Y. Niv

BitterMatch predicts ligand-receptor associations for bitter taste receptors with 80% precision and 42% recall using a hybrid recommendation system approach.

bioRxiv · Jan 13, 2022Biochemistry

Reproducibility and replicability of rodent phenotyping in preclinical studies

N. Kafkafi, J. Agassi, E. J. Chesler, J. C. Crabbe, W. E. Crusio, D. Eilam, R. Gerlai, I. Golani, A. Gomez-Marin, R. Heller, F. Iraqi, I. Jaljuli, N. A. Karp, H. Morgan, G. Nicholson, , Y. Benjamini

The paper discusses concerns about reproducibility and replicability in rodent phenotyping studies and emphasizes the need for improved data sharing and community efforts to address methodological issues.

Neuroscience & Biobehavioral Reviews · Apr 1, 2018Peer-reviewedScientific Communication & Education

Characterization of expression quantitative trait loci in extensively phenotyped pedigrees ascertained for bipolar disorder

C. Peterson, S. Service, A. Jasinska, F. Gao, I. Zelaya, T. Teshiba, C. Bearden, V. Reus, G. Macaya, C. López-Jaramillo, M. Bogomolov, Y. Benjamini, E. Eskin, G. Coppola, N. Freimer, C. Sabatti

The paper characterizes expression quantitative trait loci (eQTL) in bipolar disorder pedigrees to understand genetic regulation and heritability.

bioRxiv · Nov 12, 2015 · PreprintGenomics