• ClusTrack: Feature extraction and similarity measures for clustering of genome-wide data sets 

      Rydbeck, Halfdan; Sandve, Geir Kjetil F.; Ferkingstad, Egil; Simovski, Boris; Rye, Morten Beck; Hovig, Johannes Eivind (Journal article, 2015)
      Clustering is a popular technique for explorative analysis of data, as it can reveal subgroupings and similarities between data in an unsupervised manner. While clustering is routinely applied to gene expression data, there ...