Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease - Talwar, Puneet; Silla, Yumnam; Grover, Sandeep; Gupta, Meenal; Agarwal, Rachna; Kushwaha, Suman; Kukreti, Ritushree (BMC genomics, 2014)
Keywords: Advertising executives; Algorithms; Alzheimer Disease - genetics; Alzheimer Disease - metabolism; Alzheimer's disease; Animal Genetics and Genomics; Biology; Biomarkers; Biomedical and Life Sciences; Computational Biology - methods; Convergence; Cyclin-dependent kinases; Design; Environmental factors; Gene expression; Gene Expression Profiling; Gene Regulatory Networks; Genetic aspects; Genetic Linkage; Genome-Wide Association Study; Genomes; Genomics; Health risk assessment; Human and rodent genomics; Humans; Industrial research; Life Sciences; Methods; Microarrays; Microbial Genetics and Genomics; Molecular Sequence Annotation; Ontology; Pathogenesis; Physiological aspects; Plant Genetics and Genomics; Plasma; Polymorphism, Single Nucleotide; Protein Interaction Mapping - methods; Protein Interaction Maps; Protein-protein interactions; Proteins; Proteomics; Reproducibility of Results; Research Article; Risk factors; Studies; Type 2 diabetes; Functional annotation; Protein-protein interaction; Gene prioritization; Clustering