関連する実験動画

Updated: Sep 9, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.6K

RNA二次構造の予測能力の強化 コンボリューション・ブロック・アテンション・ネットワークとアンサンブル・ラーニング

Hanbo Lin1, Dongyue Hou1, Zhaoyite Li2

  • 1School of Pharmaceutical Sciences, Shanghai Engineering Research Center of Immunotherapeutics, Fudan University, Shanghai 201203, China.

Molecules (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

RNAの二次構造 (RSS) を予測することは,RNAの機能にとって極めて重要です. TrioFoldは,熱力学とディープラーニングの方法を組み合わせることで,RSS予測の汎用性を向上させ,多様なRNAタイプの精度を向上させます.

キーワード:
RNA二次構造の予測コンヴォルションブロック注意ネットワーク集団学習

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