Author

Yarden Hochenberg

Ben-Gurion University of the Negev

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

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Hadasa KaufmaniD· 1 shared Michal Linial BiD· 1 shared Nadav RappoportiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetic & Genomic Medicine

Hadasa KaufmanORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

DROP-DEEP: Dimensionality Reduction for Polygenic Risk Score Using Deep Learning Approach

Hadasa Kaufman, Yarden Hochenberg, Michal Linial B, Nadav Rappoport

DROP-DEEP improves polygenic risk score prediction by using deep learning for dimensionality reduction, outperforming traditional methods on hypertension and other traits.

medRxiv · May 1, 2024 · PreprintGenetic & Genomic Medicine