Computer Science and Center for Research in Computer Vision

Thursday, March 02, 2017

  • Computational Analysis of Transcript Interactions and Variants in Cancer

    HPA 2: Room 345

    Dr. Wei Zhang Research Associate, University of Minnesota Twin Cities. Gene expression and gene isoforms in cancer transcriptome are informative for phenotype prediction. Network‚Äźbased learning models are playing increasing role in cancer transcriptome analysis. These methods integrate large scale patient transcriptome data with structural information in biological networks to improve phenotype prediction accuracy, model robustness and biological interpretation of results. ...

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