Merged consensus clustering to assess and improve class discovery with microarray data

@inproceedings{Simpson2010MergedCC,
  title={Merged consensus clustering to assess and improve class discovery with microarray data},
  author={T. Ian Simpson and J. Douglas Armstrong and Andrew Paul Jarman},
  booktitle={BMC Bioinformatics},
  year={2010}
}
One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a large number of methods available to perform clustering, but it is often unclear which method is best suited to the data and how to quantify the quality of the classifications produced. Here we describe an R package containing methods to analyse the consistency of clustering results from any number of different clustering methods… CONTINUE READING