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Shuangge Ma, Yale School of Public Health

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Assisted Analysis of Gene Expression Data
08 February 2018 from 4:00 PM to 5:00 PM
104 Thomas Building
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Gene expression studies have been playing a pivotal role for the research on many complex
diseases. With the high dimensionality and noisy nature of data, the analysis of gene expression
studies, despite many promising findings, is still often unsatisfactory. In recent omics studies, a
prominent trend is to conduct multidimensional studies, where gene expressions are profiled
along with their regulators (methylation, copy number variation, microRNA, and others). In a
series of studies, we have developed assisted analysis techniques, which use regulator
information to assist the regression, clustering, and other analysis of gene expression data. The
assisted analysis differs from the analysis of gene expression data only and integrated analysis
in multiple aspects. Numerical and statistical investigations show promising performance of the
assisted analysis
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