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Jan 5, 2023 · In this study, we propose a computational model that uses a selective ensemble to predict deleterious synonymous mutations (seDSM). We construct ...
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Deleterious synonymous mutation identification based on selective ensemble strategy. Lihua Wang et al., Briefings in Bioinformatics, 2023. BioERP: biomedical ...
Deleterious synonymous mutation identification based on selective ensemble strategy ... selective ensemble for predicting deleterious synonymous mutations ...
An Ensemble Approach to Predict the Pathogenicity of Synonymous ...
www.ncbi.nlm.nih.gov › PMC7565489
Sep 21, 2020 · Computational identification of deleterious synonymous variants in human genomes using a feature-based approach. BMC Med. Genom. 2019;12:81 ...
Missing: strategy. | Show results with:strategy.
Mar 2, 2021 · Abstract: In recent years, the association between synonymous mutations (SMs) and human diseases has been uncovered in many studies.
Missing: selective strategy.
In this study, we propose a computational model that uses a selective ensemble to predict deleterious synonymous mutations (seDSM). We construct several ...
2020. TLDR. An ensemble model, named Prediction of Deleterious Synonymous Mutation (PrDSM), is established, which averages the ratings generated by the three ...
Jan 31, 2019 · In this paper, we developed a feature-based method, IDSV (Identification of Deleterious Synonymous Variants), for predicting harmful sSNVs in ...
Missing: selective strategy.
This results in highly convoluted prediction models, especially in ensemble-based ... Identification of deleterious synonymous variants in human genomes.
May 22, 2023 · Computational identification of deleterious synonymous variants in human genomes using a feature-based approach. BMC Med Genomics. 2019;12 ...