Now showing items 1-4 of 4

    • Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies 

      Fjukstad, Bjørn; Olsen, Karina Standahl; Jareid, Mie; Lund, Eiliv; Bongo, Lars Ailo (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-03-30)
      Kvik is an open-source system that we developed for explorative analysis of functional genomics data from large epidemiological studies. Creating such studies requires a significant amount of time and resources. It is therefore usual to reuse the data from one study for several research projects. Often each project requires implementing new analysis code, integration with specific knowledge bases, ...
    • Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 1; peer review: 2 approved with reservations] 

      Fjukstad, Bjørn; Olsen, Karina Standahl; Jareid, Mie; Lund, Eiliv; Bongo, Lars Ailo (Journal article; Tidsskriftartikkel; Peer reviewed, 2015-03-30)
      Kvik is an open-source system that we developed for explorative analysis of functional genomics data from large epidemiological studies. Creating such studies requires a significant amount of time and resources. It is therefore usual to reuse the data from one study for several research projects. Often each project requires implementing new analysis code, integration with specific knowledge bases, ...
    • Mr. Clean: A Tool for Tracking and Comparing the Lineage of Scientific Visualization Code 

      Tartari, Giacomo; Tiede, Lars; Holsbø, Einar; Knudsen, Kenneth; Raknes, Inge Alexander; Fjukstad, Bjørn; Mode, Nicolle; Bjørndalen, John Markus; Lund, Eiliv; Bongo, Lars Ailo (Conference object; Konferansebidrag, 2014)
    • Predicting breast cancer metastasis from whole-blood transcriptomic measurements 

      Holsbø, Einar; Perduca, Vittorio; Bongo, Lars Ailo; Lund, Eiliv; Birmelé, Etienne (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-20)
      <i>Objective</i> - In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast ...