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

HealthData.Gov

Updated Oct 29, 2026

About this dataset

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.

Data and resources (1)

Prototype by Datopian · not an official government website · data from data.virginia.gov