multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

@inproceedings{Lawlor2016multiClustAR,
  title={multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles},
  author={Nathan Lawlor and Alec Fabbri and Peiyong Guan and Joshy George and Radha Krishna Murthy Karuturi},
  booktitle={Cancer informatics},
  year={2016}
}
Clustering is carried out to identify patterns in transcriptomics profiles to determine clinically relevant subgroups of patients. Feature (gene) selection is a critical and an integral part of the process. Currently, there are many feature selection and clustering methods to identify the relevant genes and perform clustering of samples. However, choosing… CONTINUE READING