• 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 ...
    • The Genomic HyperBrowser: an analysis web server for genome-scale data 

      Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi; Holden, Lars; Holden, Marit; Liestøl, Knut; Nygård, Ståle; Nygaard, Vegard; Paulsen, Jonas; Rydbeck, Halfdan; Trengereid, Kai; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Kalaš, Matúš; Lien, Tonje Gulbrandsen; Rye, Morten Beck; Frigessi, Arnoldo; Hovig, Johannes Eivind (Journal article; Peer reviewed, 2013)
      The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable ...