Abstract Details
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Activity Number:
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17
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 3, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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International Chinese Statistical Association
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Abstract #312388
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Title:
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Integrating Diverse Genomics Data to Infer Heterogeneity in Cancer
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Author(s):
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Yuping Zhang*+ and Hongyu Zhao
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Companies:
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and Yale
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Keywords:
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data integration ;
inference ;
statistical learning
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Abstract:
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Recent advances in high-throughput biotechnologies have generated unprecedented types and amounts of data for biomedical research. It is likely that integrating results from diverse experiments may lead to a more unified and global view of complex diseases such as cancer. In this talk, we will address statistical issues in data integration and present a new statistical learning method for integrating diverse genomics data. Our method provides an integrated picture of commonalities and differences across tumor types. The performance of our method will be demonstrated through simulations and applications to real cancer data.
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Authors who are presenting talks have a * after their name.
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