Author

Rima Arnaout

University of California, San FranciscoORCID 0000-0002-7134-0040Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Organism:human· 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

2024-2024 · 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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1 paper

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