Author

Omer Ronen

Hebrew University of Jerusalem

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aldo Córdova‐PalomeraiD· 1 shared Atul Janardhan ButteiD· 1 shared Ben Brown· 1 shared Bin YuiD· 1 shared Chengzhong YeiD· 1 shared Euan Angus AshleyiD· 1 shared James Rush PriestiD· 1 shared Karl KumbieriD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aldo Córdova‐PalomeraORCID

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2 papers

Recent·Most cited

Learning epistatic polygenic phenotypes with Boolean interactions

Merle Behr, Karl Kumbier, Aldo Córdova‐Palomera, Matthew Aguirre, Omer Ronen, Chengzhong Ye, Euan Angus Ashley, Atul Janardhan Butte, Rima Arnaout, Ben Brown, James Rush Priest, Bin Yu

The paper introduces epiTree, a pipeline using tree-based models to detect higher-order epistatic interactions in genomic data, validated on UK Biobank data for red hair and MS prediction.

PLoS ONE · Apr 16, 2024Peer-reviewedBioinformatics

Deep Homology-Based Protein Contact-Map Prediction

Omer Ronen, Or Zuk

The paper introduces Periscope, a deep learning method for homology-assisted contact map prediction, showing improved accuracy over MSA-only methods and complementary results to template-based structure prediction.

bioRxiv · Oct 4, 2020 · PreprintBioinformatics