関連する実験動画
Updated: Jan 23, 2026

10:16
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
679
DDA-bench:薬物-疾患関連予測のためのベンチマークデータセットおよびベースラインパフォーマンス値の手動キュレーションデータベース
1School of Airspace Science and Engineering, Shandong University, Weihai, Shandong, China.
Frontiers in genetics
|January 22, 2026
まとめ
新規創薬のための薬物-疾患関連予測モデルの開発は極めて重要です。DDA-Benchデータベースは、キュレーション済みのデータセットとベースラインパフォーマンスメトリックを提供し、研究努力を合理化し、モデル精度に対するデータセット密度の影響を強調します。
背景:
- 薬物-疾患関連の予測は、新規薬物開発に役立ちます。
- 既存の計算手法には、信頼性の高いベンチマークデータセットとベースラインパフォーマンスデータが必要です。
- これらのリソースの手動キュレーションは、労働集約的で時間がかかります。
結論:
- DDA-Benchは、薬物-疾患関連研究におけるデータ準備にかかる時間と労力を大幅に削減します。
- 堅牢なモデル開発には、パフォーマンスのばらつきとデータセット密度に注意を払うことが不可欠です。
- DDA-Benchデータベースは、この分野の研究を促進するために公開されています。
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