This study proposed a bounded nuclear norm regularization-based method, called PSnoD, to predict snoRNA-disease associations. Benchmark experiments showed that compared with the state-of-the-art methods, PSnoD achieved a superior performance in the 5-fold stratified shuffle split.
Jul 12, 2022
Jul 18, 2022 · This study proposed a bounded nuclear norm regularization-based method, called PSnoD, to predict snoRNA-disease associations. Benchmark ...
This study proposed a bounded nuclear norm regularization-based method, called PSnoD, to predict snoRNA-disease associations. Benchmark experiments showed that ...
Abstract Many studies have proved that small nucleolar RNAs (snoRNAs) play critical roles in the development of various human complex diseases.
In this study, we introduced SAGESDA, a novel model based on the GraphSAGE GNN architecture, for the prediction of potential snoRNA-disease associations.
Apr 21, 2024 · This study introduces a novel method, IGCNSDA, which utilizes an interpretable GCN for predicting snoRNA–disease associations. Our approach ...
Description : Predicting snoRNA-disease association using matrix completion technique. OS : Mac Windows Linux. Documentation : ManualGeneralFAQTerms of use.
SnoDi-LSGT [8] proposes a method based on local similarity constraints and global topology constraints to predict the association between snoRNA and diseases.
Oct 3, 2022 · PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization. Sun Z, Huang Q, Yang Y, Li S, Lv H ...
PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization ... PSnoD, to predict snoRNA-disease associations ...