Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme
Genome Medicine2010Vol. 2(9), pp. 65–65
Citations Over TimeTop 10% of 2010 papers
Kristian Ovaska, Marko Laakso, Saija Haapa-Paananen, Riku Louhimo, Ping Chen, Viljami Aittomäki, Erkka Valo, Javier Núñez-Fontarnau, Ville Rantanen, Sirkku Karinen, Kari Nousiainen, Anna‐Maria Lahesmaa‐Korpinen, Minna Miettinen, Lilli Saarinen, Pekka Kohonen, Jianmin Wu, Jukka Westermarck, Sampsa Hautaniemi
Abstract
Our results demonstrate that integrated analysis and visualization of multidimensional and heterogeneous data by Anduril enables drawing conclusions on functional consequences of large-scale molecular data. Many of the identified genetic loci and genes having significant survival effect have not been reported earlier in the context of glioblastoma multiforme. Thus, in addition to generally applicable novel methodology, our results provide several glioblastoma multiforme candidate genes for further studies.Anduril is available at http://csbi.ltdk.helsinki.fi/anduril/The glioblastoma multiforme analysis results are available at http://csbi.ltdk.helsinki.fi/anduril/tcga-gbm/
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