Institute of Information Science, Academia Sinica



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TIGP--High-throughput image-based drug screening

  • LecturerProf. Chun-Nan Hsu (Institute of Information Science, Academia Sinica)
    Host: Miss Elsa Pan
  • Time2011-11-17 (Thu.) 14:00 – 15:30
  • LocationAuditorium 106 at new IIS Building

The recent development of high-throughput drug profiling (high content screening or HCS) provides a large amount of quantitative multidimensional data. Despite its potentials, it poses challenges for detecting the effectiveness of thousands of drug candidates from a large volume of cell microscopic images. This talk will present graph-based machine learning methods to quantify morphological differences of high-dimensional subcellular features and how to apply the method to discover candidate drugs for genetic disorders from microscopic images of induced stem-cells.