Found: 16
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Systemic Analysis of Heat Shock Response Induced by Heat Shock and a Proteasome Inhibitor MG132.
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- PLoS ONE, 2011, v. 6, n. 6, p. 1, doi. 10.1371/journal.pone.0020252
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- Article
Evaluating the effect of database inflation in proteogenomic search on sensitive and reliable peptide identification.
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- BMC Genomics, 2016, v. 17, p. 151, doi. 10.1186/s12864-016-3327-5
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- Article
CFMDS: CUDA-based fast multidimensional scaling for genome-scale data.
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- BMC Bioinformatics, 2012, v. 13, n. Suppl 17, p. 1, doi. 10.1186/1471-2105-13-S17-S23
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- Article
Combining gene expression data from different generations of oligonucleotide arrays.
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- BMC Bioinformatics, 2004, v. 5, p. 159, doi. 10.1186/1471-2105-5-159
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- Article
I148M variant in PNPLA3 reduces central adiposity and metabolic disease risks while increasing nonalcoholic fatty liver disease.
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- Liver International, 2015, v. 35, n. 12, p. 2537, doi. 10.1111/liv.12909
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- Article
Discovery of microRNA-mRNA modules via population-based probabilistic learning.
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- Bioinformatics, 2007, v. 23, n. 9, p. 1141, doi. 10.1093/bioinformatics/btm045
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- Article
CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays.
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- Bioinformatics, 2005, v. 21, n. 9, p. 2116, doi. 10.1093/bioinformatics/bti288
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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
BAYESIAN NETWORK LEARNING WITH FEATURE ABSTRACTION FOR GENE-DRUG DEPENDENCY ANALYSIS.
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- Journal of Bioinformatics & Computational Biology, 2005, v. 3, n. 1, p. 61, doi. 10.1142/S0219720005000874
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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