Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering

Description

A heuristically modified version of fuzzy k-means clustering has been used to identify overlapping clusters of yeast genes based on published gene-expression data following the response of yeast cells to environmental changes. A prevalent theme in the regulation of yeast gene expression seems to be the condition-specific coregulation of overlapping sets of genes.

Resources

Name Format Description Link
Official Government Data Source HTML Visit the original government dataset for complete information, documentation, and data access. Open resource

Tags

Topics

Categories