A review study: Computational techniques for expecting the impact of non-synonymous single nucleotide variants in human diseases-论文-万方医学网

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A review study: Computational techniques for expecting the impact of non-synonymous single nucleotide variants in human diseases

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第一作者： Hassan, Marwa S.

作者： Hassan, Marwa S. ^[1] ; Shaalan, A. A. ^[2] ; Dessouky, M. I. ^[3] ; Abdelnaiem, Abdelaziz E. ; ElHefnawi, Mahmoud

作者单位： Natl Res Ctr,Natl Res Ctr, Syst & Informat Dept, Giza, Egypt ^[1] Zagazig Univ,Zagazig Univ, Fac Engn, Elect & Commun Dept, Zagazig, Egypt ^[2] Menoufia Univ,Menoufia Univ, Fac Elect Engn, Elect & Elect Commun Dept, Menoufia 32952, Egypt ^[3]

关键词 Non-synonymous single nucleotide variants Genotype Phenotype Machine learning techniques (MLTs)Predictive power Meta-tool Pathogenic Coding and noncoding variants Protein stability PROTEIN STABILITY FUNCTIONAL ANNOTATION NONSYNONYMOUS SNVS SEQUENCE VARIANTS MUTATIONS PREDICTION PATHOGENICITY SERVER SCORE CONSEQUENCES

发布时间 2022-10-30

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