The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health.

ABSTRACT: Background: The blood transcriptome is expected to provide a detailed picture of an organism's physiological state with potential outcomes for applications in medical diagnostics and molecular and epidemiological research. We here present the analysis of blood specimens of 3,388 adult individuals, together with phenotype characteristics such as disease history, medication status, lifestyle factors, and body mass index (BMI). The size and heterogeneity of this data challenges analytics in terms of dimension reduction, knowledge mining, feature extraction, and data integration. Methods: Self-organizing maps (SOM)-machine learning was applied to study transcriptional states on a population-wide scale. This method permits a detailed description and visualization of the molecular

SUBMITTER: Schmidt M 

PROVIDER: S-EPMC7931910 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature