Graph coloring for extracting discriminative genes in cancer data

Mohamed A Mahfouz1, Juan A Nepomuceno2

  • 1Department of Computer and Systems Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt.

Annals of Human Genetics
|January 16, 2019
PubMed
Summary

This study introduces a graph coloring approach (GCA) for reducing dimensionality in gene expression data. GCA improves cancer classification accuracy by selecting relevant genes, aiding in automated cancer diagnosis.

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