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I148M variant in PNPLA3 reduces central adiposity and metabolic disease risks while increasing nonalcoholic fatty liver disease.
- Published in:
- Liver International, 2015, v. 35, n. 12, p. 2537, doi. 10.1111/liv.12909
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- Article
Predicting High Blood Pressure Using DNA Methylome-Based Machine Learning Models.
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- Biomedicines, 2022, v. 10, n. 6, p. 1406, doi. 10.3390/biomedicines10061406
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- Article
An empirical evaluation of sampling methods for the classification of imbalanced data.
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- PLoS ONE, 2022, v. 17, n. 7, p. 1, doi. 10.1371/journal.pone.0271260
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- Article
Reducing False-Positive Incidental Findings with Ensemble Genotyping and Logistic Regression Based Variant Filtering Methods.
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- Human Mutation, 2014, v. 35, n. 8, p. 936, doi. 10.1002/humu.22587
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- Article
Prioritizing Disease-Linked Variants, Genes, and Pathways with an Interactive Whole-Genome Analysis Pipeline.
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- Human Mutation, 2014, v. 35, n. 5, p. 537, doi. 10.1002/humu.22520
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- Article
Comparative analysis of whole-genome sequencing pipelines to minimize false negative findings.
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- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-019-39108-2
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- Article
TIDD: tool-independent and data-dependent machine learning for peptide identification.
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- BMC Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12859-022-04640-y
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- Article
gSearch: a fast and flexible general search tool for whole-genome sequencing.
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- Bioinformatics, 2012, v. 28, n. 16, p. 2176, doi. 10.1093/bioinformatics/bts358
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- Article
Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-37698-6
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- Article