243 related articles for article (PubMed ID: 34887492)
1. Predicting deleterious missense genetic variants via integrative supervised nonnegative matrix tri-factorization.
Arani AA; Sehhati M; Tabatabaiefar MA
Sci Rep; 2021 Dec; 11(1):23747. PubMed ID: 34887492
[TBL] [Abstract][Full Text] [Related]
2. Genetic variant effect prediction by supervised nonnegative matrix tri-factorization.
Arani AA; Sehhati M; Tabatabaiefar MA
Mol Omics; 2021 Oct; 17(5):740-751. PubMed ID: 34164638
[TBL] [Abstract][Full Text] [Related]
3. Evaluating the relevance of sequence conservation in the prediction of pathogenic missense variants.
Capriotti E; Fariselli P
Hum Genet; 2022 Oct; 141(10):1649-1658. PubMed ID: 35098354
[TBL] [Abstract][Full Text] [Related]
4. The CYSMA web server: An example of integrative tool for in silico analysis of missense variants identified in Mendelian disorders.
Sasorith S; Baux D; Bergougnoux A; Paulet D; Lahure A; Bareil C; Taulan-Cadars M; Roux AF; Koenig M; Claustres M; Raynal C
Hum Mutat; 2020 Feb; 41(2):375-386. PubMed ID: 31674704
[TBL] [Abstract][Full Text] [Related]
5. MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants.
Chennen K; Weber T; Lornage X; Kress A; Böhm J; Thompson J; Laporte J; Poch O
PLoS One; 2020; 15(7):e0236962. PubMed ID: 32735577
[TBL] [Abstract][Full Text] [Related]
6. Identifying Mendelian disease genes with the variant effect scoring tool.
Carter H; Douville C; Stenson PD; Cooper DN; Karchin R
BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S3. PubMed ID: 23819870
[TBL] [Abstract][Full Text] [Related]
7. Improved pathogenicity prediction for rare human missense variants.
Wu Y; Li R; Sun S; Weile J; Roth FP
Am J Hum Genet; 2021 Oct; 108(10):1891-1906. PubMed ID: 34551312
[TBL] [Abstract][Full Text] [Related]
8. A Comprehensive Evaluation of the Performance of Prediction Algorithms on Clinically Relevant Missense Variants.
Qorri E; Takács B; Gráf A; Enyedi MZ; Pintér L; Kiss E; Haracska L
Int J Mol Sci; 2022 Jul; 23(14):. PubMed ID: 35887294
[TBL] [Abstract][Full Text] [Related]
9. Protein complex detection via weighted ensemble clustering based on Bayesian nonnegative matrix factorization.
Ou-Yang L; Dai DQ; Zhang XF
PLoS One; 2013; 8(5):e62158. PubMed ID: 23658709
[TBL] [Abstract][Full Text] [Related]
10. RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation.
Peng L; Yang C; Huang L; Chen X; Fu X; Liu W
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35534179
[TBL] [Abstract][Full Text] [Related]
11. MVP predicts the pathogenicity of missense variants by deep learning.
Qi H; Zhang H; Zhao Y; Chen C; Long JJ; Chung WK; Guan Y; Shen Y
Nat Commun; 2021 Jan; 12(1):510. PubMed ID: 33479230
[TBL] [Abstract][Full Text] [Related]
12. ISFMDA: Learning Interactions of Selected Features-Based Method for Predicting Potential MicroRNA-Disease Associations.
Chen X; Jiang Z
J Comput Biol; 2021 Dec; 28(12):1219-1227. PubMed ID: 34847740
[TBL] [Abstract][Full Text] [Related]
13. DARVIC: Dihedral angle-reliant variant impact classifier for functional prediction of missense VUS.
Lagniton PNP; Tam B; Wang SM
Comput Methods Programs Biomed; 2023 Aug; 238():107596. PubMed ID: 37201251
[TBL] [Abstract][Full Text] [Related]
14. Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.
Le DH; Nguyen-Ngoc D
Acta Biotheor; 2018 Dec; 66(4):315-331. PubMed ID: 29700660
[TBL] [Abstract][Full Text] [Related]
15. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
Wu Q; Wang Z; Li C; Ye Y; Li Y; Sun N
BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
[TBL] [Abstract][Full Text] [Related]
16. Comparison and integration of computational methods for deleterious synonymous mutation prediction.
Cheng N; Li M; Zhao L; Zhang B; Yang Y; Zheng CH; Xia J
Brief Bioinform; 2020 May; 21(3):970-981. PubMed ID: 31157880
[TBL] [Abstract][Full Text] [Related]
17. SIGMA leverages protein structural information to predict the pathogenicity of missense variants.
Zhao H; Du H; Zhao S; Chen Z; Li Y; Xu K; Liu B; Cheng X; Wen W; Li G; Chen G; Zhao Z; Qiu G; ; Liu P; Zhang TJ; Wu Z; Wu N
Cell Rep Methods; 2024 Jan; 4(1):100687. PubMed ID: 38211594
[TBL] [Abstract][Full Text] [Related]
18. The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity.
Grimm DG; Azencott CA; Aicheler F; Gieraths U; MacArthur DG; Samocha KE; Cooper DN; Stenson PD; Daly MJ; Smoller JW; Duncan LE; Borgwardt KM
Hum Mutat; 2015 May; 36(5):513-23. PubMed ID: 25684150
[TBL] [Abstract][Full Text] [Related]
19. Novel gene-specific Bayesian Gaussian mixture model to predict the missense variants pathogenicity of Sanfilippo syndrome.
Mohammed EEA; Fayez AG; Abdelfattah NM; Fateen E
Sci Rep; 2024 May; 14(1):12148. PubMed ID: 38802532
[TBL] [Abstract][Full Text] [Related]
20. usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Tang X; Zhang T; Cheng N; Wang H; Zheng CH; Xia J; Zhang T
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33866367
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
