Systems Analytics and Integration of Big Omics Data

• Päätekijä: Hardiman, Gary (auth)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Aiheet: Medicine; precision medicine informatics; n/a; drug sensitivity; chromatin modification; cell lines; biocuration; neurodegeneration; multivariate analysis; artificial intelligence; epigenetics; missing data; sequencing; clinical data; class imbalance; integrative analytics; algorithm development for network integration; deep phenotype; non-omics data; feature selection; Gene Ontology; miRNA-gene expression networks; omics data; plot visualization; Alzheimer's disease; tissue classification; epidemiological data; proteomic analysis; genotype; RNA expression; indirect effect; multi-omics; dementia; multiomics integration; data integration; phenomics; network topology analysis; challenges; transcriptome; enrichment analysis; regulatory genomics; scalability; heterogeneous data; systemic lupus erythematosus; database; microtubule-associated protein tau; disease variants; genomics; joint modeling; distance correlation; annotation; phenotype; direct effect; curse of dimensionality; gene-environment interactions; logic forest; machine learning; KEGG pathways; multivariate causal mediation; amyloid-beta; bioinformatics pipelines; support vector machine; pharmacogenomics; candidate genes; tissue-specific expressed genes; cognitive impairment; causal inference
• Linkit: DOAB: download the publication; DOAB: description of the publication

A "genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye...