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Joint Research Seminar (23 Jul 2015)



Joint Research Seminar

Genomics Strategic Research Theme
Centre for Genomic Sciences

A General Scalable Framework for Integrative Analysis of Genomic Datasets


Dr Yingying Wei

Assistant Professor
Department of Statistics, Chinese University of Hong Kong

23 July 2015 (Thu)
3:00 – 4:00pm

Seminar Room 2, G/F
The Hong Kong Jockey Club Building for Interdisciplinary Research

5 Sassoon Road, Pokfulam, Hong Kong


In this era of high-throughput technologies, genomic data in public repositories is rapidly growing. To illustrate, to date, more than 1,000,000 samples have been stored in Gene Expression Omnibus and ArrayExpress; meanwhile, over 2,500 ChIP-seq samples are deposited in the ENCODE project and the Sequence Read Archive. This large volume of data provides unprecedented opportunities to improve detection for weak signals by integrating multiple genomic datasets. Nevertheless, brute force integration methods run into exponential growth of parameters soon as the number of studies integrated increases. Here I present a general scalable, efficient and interpretable framework for integrative analysis of genomic datasets. The framework can be applied to both homogenous data integration, such as differential gene expression detection from multiple studies, as well as heterogeneous data integration including genome-wide epigenomic annotation.

About the Speaker:

Yingying Wei got her bachelor's degree in Mathematics from Tsinghua University in 2009. After that, she continued her graduate studies at the Johns Hopkins University. She obtained her PhD degree in Biostatistics as well as a dual MSE degree in Computer Science in 2014. She is currently an assistant professor in the Department of Statistics at the Chinese University of Hong Kong.


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