Author

Merle Behr

University of California, BerkeleyORCID 0000-0002-4255-5237Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Axel MunkiD· 2 shared Aldo Córdova‐PalomeraiD· 1 shared Andreas FutschikiD· 1 shared Atul Janardhan ButteiD· 1 shared Ben Brown· 1 shared Bin YuiD· 1 shared Chengzhong YeiD· 1 shared Chris C. HolmesiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Axel MunkORCID

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3 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

Multiple Haplotype Reconstruction from Allele Frequency Data

Marta Pelizzola, Merle Behr, Housen Li, Axel Munk, Andreas Futschik

This paper introduces haploSep, a method to infer haplotypes and their frequencies from allele frequency data, improving accuracy and enabling multi-haplotype estimation.

Nature Computational Science · Apr 22, 2021Peer-reviewedBioinformatics

Testing for Dependence on Tree Structures

Merle Behr, M. Azim Ansari, Axel Munk, Chris C. Holmes

The paper introduces a statistical method to test for association between a response variable and a tree structure across all hierarchy levels while controlling false positives.

Proceedings of the National Academy of Sciences · Apr 22, 2020Peer-reviewedBioinformatics