{
  "id": 15879023,
  "title": "Bayesian Variable Selection Approaches to Identifying Selection in Evolutionary Datasets",
  "url": "https://urgent.news/2026/10/21/bayesian-variable-selection-approaches-to-identifying-selection-in",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-21T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.19.760252v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We consider the problem of identifying individual sites and characters under selection in phylogenetic datasets. We introduce an approach based on the application of Bayesian variable selection to mutation-selection models, which enables both sites and selection coefficients to be explicitly excluded from the model in order to control parameter complexity. We provide an accelerated Gibbs sampling…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}