Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data

@article{Lepre2004GenesWorkAE,
  title={Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data},
  author={Jorge Lepre and John Jeremy Rice and Yuhai Tu and Gustavo Stolovitzky},
  journal={Bioinformatics},
  year={2004},
  volume={20 7},
  pages={1033-44}
}
MOTIVATION Despite the growing literature devoted to finding differentially expressed genes in assays probing different tissues types, little attention has been paid to the combinatorial nature of feature selection inherent to large, high-dimensional gene expression datasets. New flexible data analysis approaches capable of searching relevant subgroups of genes and experiments are needed to understand multivariate associations of gene expression patterns with observed phenotypes. RESULTS We… CONTINUE READING
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