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Article

Inference of Coalescence Times and Variant Ages Using Convolutional Neural Networks.

Molecular biology and evolution - 4 Oct 2023

Nait Saada Juba, Tsangalidou Zoi, Stricker Miriam, Palamara Pier Francesco

Abstract excerpt

Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs of individuals and of the age of genomic variants is key in several population genetic analyses. We developed a likelihood-free approach, called CoalNN, which uses a convolutional neural network to predict pairwise TMRCAs and allele ages from sequencing or SNP array data. CoalNN is trained through simulation and can be adapted...

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Identifiers

PMID: 37738175
DOI: 10.1093/molbev/msad211
PMCID: PMC10581698

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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