Article

Semi-supervised detection of natural selection with positive-unlabeled learning

2025-08-18

Abstract excerpt

Identifying genomic regions shaped by natural selection is a central goal in evolutionary ge-nomics. Existing machine learning methods for this task are typically trained using simulated genomic data labeled according to specific evolutionary scenarios. While effective in controlled settings, these models are limited by their reliance on explicit class labels. They can only detect the specific processes they were...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8b398e93-8f64-5618-8553-9a67f03ae345
DOI: 10.1101/2025.08.15.670602

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Semi-supervised detection of natural selection with positive-unlabeled learningDOI 10.1101/2025.08.15.670602Read

S/HIC: Robust identification of soft and hard sweeps using machine learningSemantic proximity Read

Versatile detection of diverse selective sweeps with Flex-sweepSemantic proximity Read

diploS/HIC: An Updated Approach to Classifying Selective Sweeps.Semantic proximity Read

WINDEX: A hierarchical integration of site- and window-based statistics for characterizing the footprint of positive selection in genome-wide population genetic dataSemantic proximity Read

Efficient detection and characterization of targets of natural selection using transfer learningSemantic proximity Read

Localization of adaptive variants in human genomes using averaged one-dependence estimationSemantic proximity Read

The persistence and loss of hard selective sweeps amid admixture in ancient EurasiansSemantic proximity Read

Identifying loci under positive selection in complex population historiesSemantic proximity Read

Localization of adaptive variants in human genomes using averaged one-dependence estimation.Semantic proximity Read

Modeling recent positive selection using identity-by-descent segments.Semantic proximity Read

SIA: Selection Inference Using the Ancestral Recombination GraphSemantic proximity Read

On the unfounded enthusiasm for soft selective sweeps II: examining recent evidence from humans, flies, and virusesSemantic proximity Read