Found: 29
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A network analysis of cofactor-protein interactions for analyzing associations between human nutrition and diseases.
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- Scientific Reports, 2016, p. 19633, doi. 10.1038/srep19633
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- Article
A proteomic signature that reflects pancreatic beta-cell function.
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- PLoS ONE, 2018, v. 13, n. 8, p. 1, doi. 10.1371/journal.pone.0202727
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- Article
Combined use of protein biomarkers and network analysis unveils deregulated regulatory circuits in Duchenne muscular dystrophy.
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- PLoS ONE, 2018, v. 13, n. 3, p. 1, doi. 10.1371/journal.pone.0194225
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- Article
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package.
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- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-021-04179-4
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- Article
DNA methylation during human adipogenesis and the impact of fructose.
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- Genes & Nutrition, 2020, v. 15, n. 1, p. N.PAG, doi. 10.1186/s12263-020-00680-2
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- Article
New Developments and Possibilities in Reanalysis and Reinterpretation of Whole Exome Sequencing Datasets for Unsolved Rare Diseases Using Machine Learning Approaches.
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- International Journal of Molecular Sciences, 2022, v. 23, n. 12, p. 6792, doi. 10.3390/ijms23126792
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- Article
LY75 Ablation Mediates Mesenchymal-Epithelial Transition (MET) in Epithelial Ovarian Cancer (EOC) Cells Associated with DNA Methylation Alterations and Suppression of the Wnt/β-Catenin Pathway.
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- International Journal of Molecular Sciences, 2020, v. 21, n. 5, p. 1848, doi. 10.3390/ijms21051848
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- Article
Early-Life Exposure to Environmental Contaminants Perturbs the Sperm Epigenome and Induces Negative Pregnancy Outcomes for Three Generations via the Paternal Lineage.
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- Epigenomes, 2021, v. 5, n. 2, p. 1, doi. 10.3390/epigenomes5020010
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- Article
High-Resolution Maps of Mouse Reference Populations.
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- G3: Genes | Genomes | Genetics, 2017, v. 7, n. 10, p. 3427, doi. 10.1534/g3.117.300188
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A Machine Learning Approach to Identify Key Residues Involved in Protein–Protein Interactions Exemplified with SARS-CoV-2 Variants.
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- International Journal of Molecular Sciences, 2024, v. 25, n. 12, p. 6535, doi. 10.3390/ijms25126535
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Use of Elasticsearch-based business intelligence tools for integration and visualization of biological data.
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- Briefings in Bioinformatics, 2023, v. 24, n. 6, p. 1, doi. 10.1093/bib/bbad348
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Multi-omics integration—a comparison of unsupervised clustering methodologies.
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- Briefings in Bioinformatics, 2019, p. 1269, doi. 10.1093/bib/bbx167
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- Article
Metabolic Differences between Dogs of Different Body Sizes.
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- Journal of Nutrition & Metabolism, 2017, p. 1, doi. 10.1155/2017/4535710
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- Article
Clinical and Vitamin Response to a Short‐Term Multi‐Micronutrient Intervention in Brazilian Children and Teens: From Population Data to Interindividual Responses.
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- Molecular Nutrition & Food Research, 2018, v. 62, n. 6, p. 1, doi. 10.1002/mnfr.201700613
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- Article
timeOmics: an R package for longitudinal multi-omics data integration.
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- Bioinformatics, 2022, v. 38, n. 2, p. 577, doi. 10.1093/bioinformatics/btab664
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- Article
KibioR & Kibio: a new architecture for next-generation data querying and sharing in big biology.
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- Bioinformatics, 2021, v. 37, n. 17, p. 2706, doi. 10.1093/bioinformatics/btab157
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- Article
Transgenerational impact of grand‐paternal lifetime exposures to both folic acid deficiency and supplementation on genome‐wide DNA methylation in male germ cells.
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- Andrology, 2023, v. 11, n. 5, p. 927, doi. 10.1111/andr.13399
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Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes.
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- Genes & Nutrition, 2015, v. 10, n. 6, p. 1, doi. 10.1007/s12263-015-0508-9
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- Article
Interpretation of network-based integration from multi-omics longitudinal data.
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- Nucleic Acids Research, 2022, v. 50, n. 5, p. e27, doi. 10.1093/nar/gkab1200
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Inferring and modeling inheritance of differentially methylated changes across multiple generations.
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- Nucleic Acids Research, 2018, v. 46, n. 14, p. e85, doi. 10.1093/nar/gky362
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- Article
Inferring and modeling inheritance of differentially methylated changes across multiple generations.
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- Nucleic Acids Research, 2018, v. 46, n. 14, p. 7466, doi. 10.1093/nar/gky477
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- Article
iBMQ: a R/Bioconductor package for integrated Bayesian modeling of eQTL data.
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- Bioinformatics, 2013, v. 29, n. 21, p. 2797, doi. 10.1093/bioinformatics/btt485
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- Article
DSNetwork: An Integrative Approach to Visualize Predictions of Variants' Deleteriousness.
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- Frontiers in Genetics, 2020, v. 10, p. 1, doi. 10.3389/fgene.2019.01349
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- Article
Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data.
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- Frontiers in Genetics, 2019, p. N.PAG, doi. 10.3389/fgene.2019.00452
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- Article
PSMC3 proteasome subunit variants are associated with neurodevelopmental delay and type I interferon production.
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- Science Translational Medicine, 2023, v. 15, n. 698, p. 1, doi. 10.1126/scitranslmed.abo3189
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- Article
An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping.
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- Statistical Applications in Genetics & Molecular Biology, 2012, v. 11, n. 4, p. -1, doi. 10.1515/1544-6115.1760
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- Article
Proteomic Analysis of Maternal Urine for the Early Detection of Preeclampsia and Fetal Growth Restriction.
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- Journal of Clinical Medicine, 2021, v. 10, n. 20, p. 4679, doi. 10.3390/jcm10204679
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SOS genes are rapidly induced while translesion synthesis polymerase activity is temporally regulated.
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- Frontiers in Microbiology, 2024, p. 1, doi. 10.3389/fmicb.2024.1373344
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Network Analysis of Metabolite GWAS Hits: Implication of CPS1 and the Urea Cycle in Weight Maintenance.
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- PLoS ONE, 2016, v. 11, n. 3, p. 1, doi. 10.1371/journal.pone.0150495
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- Article