Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio.

ABSTRACT: Identifying genes with the largest expression changes (gene selection) to characterize a given condition is a popular first step to drive exploration into molecular mechanisms and is, therefore, paramount for therapeutic development. Reproducibility in the sciences makes it necessary to emphasize objectivity and systematic repeatability in biological and informatics analyses, including gene selection. With these two characteristics in mind, in previous works our research team has proposed using multiple criteria optimization (MCO) in gene selection to analyze microarray datasets. The result of this effort is the MCO algorithm, which selects genes with the largest expression changes without user manipulation of neither informatics nor statistical parameters. Furthermore, the user is not req

SUBMITTER: Narvaez-Bandera I 

PROVIDER: S-EPMC8794188 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature