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
21 Visit the original government dataset for complete information, documentation, and data access. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC133443/

Tags

  • fuzzy-k-means
  • nih
  • gene-coregulation
  • environmental-response
  • yeast-gene-expression

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