関連する実験動画

Updated: Feb 14, 2026

Enhanced Crosslinking Immunoprecipitation eCLIP Method for Efficient Identification of Protein-bound RNA in Mouse Testis
10:31

Enhanced Crosslinking Immunoprecipitation eCLIP Method for Efficient Identification of Protein-bound RNA in Mouse Testis

Published on: May 10, 2019

20.8K

RNA-タンパク質相互作用のシーケンスベースのモデルは,eCLIPデータにおける新しい信号予測に不十分かもしれない

Arsenii K Rybakov1, Daniil A Khlebnikov1,2, Daria Y Ovchinnikova1

  • 1Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 1-73 Leninskie Gory, Moscow 119991, Russia.

International journal of molecular sciences
|February 13, 2026
PubMed
まとめ

RNA-タンパク質の相互作用を予測することは,実験データにおけるバイアスのために困難です. PLERIOフレームワークは,eCLIPデータを用いて,トランスクリプトーム全体の相互作用をマップし,高表現RNAと低表現RNAの両方の予測を改善します.

キーワード:
RNAはRNAと競合する.RNAタンパク質の相互作用eCLIP eCLIPは,eCLIPにリンクしている.機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.シーケンスベースのモデル

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