Now showing items 1-4 of 4

    • Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal 

      Gao J.; Aksoy, B. A.; Dogrusoz, U.; Dresdner, G.; Gross, B.; Sumer, S. O.; Sun, Y.; Jacobsen, A.; Sinha, R.; Larsson, E.; Cerami, E.; Sander, C.; Schultz, N. (American Association for the Advancement of Science (A A A S), 2013)
      The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer ...
    • PATIKAweb: a Web interface for analyzing biological pathways through advanced querying and visualization 

      Dogrusoz, U.; Erson, E. Z.; Giral, E.; Demir, E.; Babur, O.; Cetintas, A.; Colak, R. (Oxford University Press, 2006-02-01)
      Summary: PATIKAweb provides a Web interface for retrieving and analyzing biological pathways in the PATIKA database, which contains data integrated from various prominent public pathway databases. It features a user-friendly ...
    • A privacy-preserving solution for compressed storage and selective retrieval of genomic data 

      Huang Z.; Ayday, E.; Lin, H.; Aiyar, R. S.; Molyneaux, A.; Xu, Z.; Fellay, J.; Steinmetz, L. M.; Hubaux, Jean-Pierre (Cold Spring Harbor Laboratory Press, 2016)
      In clinical genomics, the continuous evolution of bioinformatic algorithms and sequencing platforms makes it beneficial to store patients' complete aligned genomic data in addition to variant calls relative to a reference ...
    • Two learning approaches for protein name extraction 

      Tatar, S.; Cicekli, I. (Academic Press, 2009)
      Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...