Toward learning the rules that predict siRNA efficacy
Author:
Funder
Lundbeck Foundation
Publisher
Elsevier BV
Subject
Drug Discovery,Molecular Medicine
Reference9 articles.
1. Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacy;Monopoli;Mol. Ther. Nucleic Acids,2023
2. High-Throughput Analysis Reveals Rules for Target RNA Binding and Cleavage by AGO2;Becker;Mol. Cell,2019
3. Relaxed targeting rules help PIWI proteins silence transposons;Gainetdinov;Nature,2023
4. The biochemical basis of microRNA targeting efficacy;McGeary;Science,2019
5. Deep learning models to predict the editing efficiencies and outcomes of diverse base editors;Kim;Nat. Biotechnol.,2023
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