A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data

@inproceedings{Diaz2016ASB,
  title={A Systems Biology Approach for Unsupervised Clustering of High-Dimensional Data},
  author={Diana Diaz and Tin Chi Nguyen and Sorin Draghici},
  booktitle={MOD},
  year={2016}
}
One main challenge in modern medicine is the discovery of molecular disease subtypes characterized by relevant clinical differences, such as survival. However, clustering high-dimensional expression data is challenging due to noise and the curse of high-dimensionality. This article describes a disease subtyping pipeline that is able to exploit the important information available in pathway databases and clinical variables. The pipeline consists of a new feature selection procedure and existing… CONTINUE READING