Browsing Øvrige samlinger by Author "Yakhini, Zohar"

Now showing items 1-5 of 5

  • Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging 
    Levy-Jurgenson, Alona; Tekpli, Xavier; Yakhini, Zohar (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Abstract Motivation Tumour heterogeneity is being increasingly recognized as an important characteristic of cancer and as a determinant of prognosis and treatment outcome. Emerging spatial ...
  • LIMT is a novel metastasis inhibiting lncRNA suppressed by EGF and downregulated in aggressive breast cancer 
    Sas-Chen, Aldema; Aure, Miriam Ragle; Leibovich, Limor; Carvalho, Silvia; Enuka, Yehoshua; Körner, Cindy; Polycarpou-Schwarz, Maria; Lavi, Sara; Nevo, Nava; Kuznetsov, Yuri; Yuan, Justin; Azuaje, Francisco; Ulitsky, Igor; Diederichs, Sven; Wiemann, Stefan; Yakhini, Zohar; Kristensen, Vessela N.; Børresen-Dale, Anne-Lise; Yarden, Yosef; Sauer, Torill; Geisler, Jürgen; Hofvind, Solveig; Bathen, Tone Frost; Borgen, Elin; Engebråten, Olav; Fodstad, Øystein; Garred, Øystein; Geitvik, Gry; Kåresen, Rolf; Naume, Bjørn; Mælandsmo, Gunhild; Russnes, Hege Elisabeth Giercksky; Schlichting, Ellen; Sørlie, Therese; Lingjærde, Ole Christian; Sahlberg, Kristine Kleivi; Skjerven, Helle; Fritzman, Britt (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2016)
    Long noncoding RNAs (lncRNAs) are emerging as regulators of gene expression in pathogenesis, including cancer. Recently, lncRNAs have been implicated in progression of specific subtypes of breast cancer. One aggressive, ...
  • miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer 
    Ben-Elazar, Shay; Aure, Miriam Ragle; Jonsdottir, Kristin; Leivonen, Suvi-Katri; Kristensen, Vessela N.; Janssen, Emiel; Sahlberg, Kristine Kleivi; Lingjærde, Ole Christian; Yakhini, Zohar (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Different miRNA profiling protocols and technologies introduce differences in the resulting quantitative expression profiles. These include differences in the presence (and measurability) of certain miRNAs. We present and ...
  • Multilocus analysis of SNP and metabolic data within a given pathway 
    Kristensen, Vessela N; Tsalenko, Anya; Geisler, Jurgen; Faldaas, Anne; Grenaker, Grethe I; Lingjærde, Ole C; Fjeldstad, Ståle; Yakhini, Zohar; Lønning, Per E; Børresen-Dale, Anne-Lise (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2006)
    Background Complex traits, which are under the influence of multiple and possibly interacting genes, have become a subject of new statistical methodological research. One of the greatest challenges facing ...
  • Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer 
    Levy-Jurgenson, Alona; Tekpli, Xavier; Kristensen, Vessela N.; Yakhini, Zohar (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Abstract Digital analysis of pathology whole-slide images is fast becoming a game changer in cancer diagnosis and treatment. Specifically, deep learning methods have shown great potential to support pathology ...