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Updated: Sep 10, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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マシンラーニングと短シーケンスのk-mersを用いたウイルス宿主予測に対する分類学,宿主依存の特徴とサンプルバイアスの影響

Fedor S Perelygin1,2, Alexander N Lukashev1,3, Yulia A Aleshina4,5

  • 1Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, First Moscow State Medical University (Sechenov University), Moscow, 119435, Russian Federation.

Scientific reports
|August 27, 2025
PubMed
まとめ

ウイルスの宿主を予測することは,新たな感染症を特定するのに極めて重要です. 機械学習モデル,特に4mer周波数を使用するベクトルマシンは,ゲノムデータから新しいRNAウイルスのホストを効果的に識別します.

キーワード:
機械学習ニュクレオチド k-mersRNAウイルス分類学的なバイアスウイルスの宿主予測

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