ICGE: an R package for detecting relevant clusters and atypical units in gene expression

@inproceedings{Irigoien2011ICGEAR,
  title={ICGE: an R package for detecting relevant clusters and atypical units in gene expression},
  author={Itziar Irigoien and Basilio Sierra and Concepcion Arenas},
  booktitle={BMC Bioinformatics},
  year={2011}
}
Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expression level. An important problem associated with gene classification… CONTINUE READING