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Updated: Sep 9, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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ゲノムデータと現象データから系統遺伝学的に情報的な特徴を推論するためのクォーテットベースのアプローチ

Vivian B Brandenburg1,2, Ben Luis Hack1,2, Axel Mosig1,2

  • 1Ruhr University Bochum, Faculty of Biology and Biotechnology, Bioinformatics Group, Unversitätsstraße 150, 44801 Bochum, Germany.

Computational and structural biotechnology journal
|September 2, 2025
PubMed
まとめ

この研究では ニューラルネットワークの特徴を 進化の関係に合わせた 機械学習の方法を紹介しています このアプローチは,抽出した生物学的データの特徴が系統樹と一致することを保証し,進化的分析を改善します.

キーワード:
距離に基づく系統生殖神経ネットワークフェノタイプの進化

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