MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data.

ABSTRACT: Microarray technology is highly used in biological research environments due to its ability to monitor the RNA concentration levels. The analysis of the data generated represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied to create groups of genes that exhibit a similar behavior. Biclustering relaxes the constraints for grouping, allowing genes to be evaluated only under a subset of the conditions. Triclustering appears for the analysis of longitudinal experiments in which the genes are evaluated under certain conditions at several time points. These triclusters provide hidden information in the form of behavior patterns from temporal experiments with microarrays relating subsets of genes, experimental conditions, and time p

SUBMITTER: Gutierrez-Aviles D 

PROVIDER: S-EPMC4479169 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature