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Updated: Jan 31, 2026

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Calibration Procedures for Orthogonal Superposition Rheology
Published on: November 18, 2020
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SOLVE:行列データにおける交絡因子の分離のための構造化直交潜在変数フレームワーク
1Phillips Academy, Andover; PRIMES, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States.
Biology methods & protocols
|January 30, 2026
まとめ
この研究は、バイオインフォマティクスのための新しい潜在因子モデルフレームワークを導入し、既知の効果と測定されていない変動の分離を強化します。この方法は、解釈可能性を向上させ、薬物ゲノムデータにおける生物学的に関連性の高い遺伝子薬物関連性を特定します。
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