Author

Miles D. Roberts

Michigan State UniversityORCID 0000-0001-9854-701XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Emily B. JosephsiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintFeb 18, 2026

Summary statistics and approximate bayesian computation are comparable to convolutional neural networks for inferring times to fixation

Miles D. Roberts, Emily B. Josephs

The paper compares machine learning models and summary statistics for inferring fixation times of hard sweeps and finds no significant improvement from machine learning.

DOI 10.64898/2026.02.17.706432

whole-genome sequencingstatistical model

𝕏 PostBluesky

Evolutionary BiologybioRxivPreprintMay 17, 2024

Previously unmeasured genetic diversity explains part of Lewontin's paradox in a k-mer-based meta-analysis of 112 plant species

Miles D. Roberts, Emily B. Josephs

The paper investigates Lewontin's paradox by comparing k-mer-based and SNP-based genetic diversity metrics across 112 plant species, finding that k-mer diversity scales more strongly with population size.

3 citations

plant (other)whole-genome sequencing

𝕏 PostBluesky