Finn forfatter "Frigessi, Arnoldo"

Viser treff 1-6 av 6

  • The Genomic HyperBrowser: inferential genomics at the sequence level 
    Sandve, Geir Kjetil; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid Kristine; Holden, Lars; Holden, Marit; Liestøl, Knut; Clancy, Trevor; Ferkingstad, Egil; Johansen, Morten; Nygaard, Vegard; Tøstesen, Eivind; Frigessi, Arnoldo; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2010)
    The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to ...
  • Identifying elemental genomic track types and representing them uniformly 
    Gundersen, Sveinung; Kalaš, Matúš; Abul, Osman; Frigessi, Arnoldo; Hovig, Eivind; Sandve, Geir K (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2011)
    Background With the recent advances and availability of various high-throughput sequencing technologies, data on many molecular aspects, such as gene regulation, chromatin dynamics, and the three-dimensional ...
  • Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome 
    Aure, Miriam R; Vitelli, Valeria; Jernström, Sandra; Kumar, Surendra; Krohn, Marit; Due, Eldri U; Haukaas, Tonje H; Leivonen, Suvi-Katri; Vollan, Hans K M; Lüders, Torben; Rødland, Einar; Vaske, Charles J; Zhao, Wei; Møller, Elen K; Nord, Silje; Giskeødegård, Guro F; Bathen, Tone F; Caldas, Carlos; Tramm, Trine; Alsner, Jan; Overgaard, Jens; Geisler, Jürgen; Bukholm, Ida R K; Naume, Bjørn; Schlichting, Ellen; Sauer, Torill; Mills, Gordon B; Kåresen, Rolf; Mælandsmo, Gunhild M; Lingjærde, Ole C; Frigessi, Arnoldo; Kristensen, Vessela N; Børresen-Dale, Anne-Lise; Sahlberg, Kristine K (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2017)
    Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify ...
  • Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer 
    Solvang, Hiroko K; Lingjærde, Ole C; Frigessi, Arnoldo; Børresen-Dale, Anne-Lise; Kristensen, Vessela N (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2011)
    Background Elucidating the exact relationship between gene copy number and expression would enable identification of regulatory mechanisms of abnormal gene expression and biological pathways of regulation. ...
  • The differential disease regulome 
    Sandve, Geir K; Gundersen, Sveinung; Rydbeck, Halfdan; Glad, Ingrid K; Holden, Lars; Holden, Marit; Liestøl, Knut; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Johansen, Morten; Nygaard, Vegard; Tøstesen, Eivind; Frigessi, Arnoldo; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2011)
    Background Transcription factors in disease-relevant pathways represent potential drug targets, by impacting a distinct set of pathways that may be modulated through gene regulation. The influence of ...
  • Validation of oligoarrays for quantitative exploration of the transcriptome 
    Nygaard, Vigdis; Liu, Fang; Holden, Marit; Kuo, Winston P; Trimarchi, Jeff; Ohno-Machado, Lucila; Cepko, Connie L; Frigessi, Arnoldo; Glad, Ingrid K; van de Wiel, A M; Hovig, Eivind; Lyng, Heidi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2008)
    Background Oligoarrays have become an accessible technique for exploring the transcriptome, but it is presently unclear how absolute transcript data from this technique compare to the data achieved with ...