| Speaker: | Jean Yang (Sydney) |
| Title: | Methods for examining high-throughput biological data |
| Abstract: |
The rapid development of new biotechnologies has led to the generation
of many large and complex biological datasets. I will briefly describe
two technologies, microarray and iTRAQ™, which respectively measure
gene expression levels and relative protein levels,
for thousands of genes or proteins simultaneously. We will examine the statistical challenges in integrating microarray data produced by different
research groups, and in performing the iTRAQ analysis on the raw data from mass spectrometry.
Jean has a bachelor's degree in statistics from the University of Sydney and completed her doctoral studies in the Department of Statistics at the University of California, Berkeley where she worked under the supervision of Terry Speed on the design and analysis of microarray experiments. She moved back to Sydney 5 years ago and is currently an ARC Future Fellow and Senior Lecturer in the School of Mathematics and Statistics, University of Sydney. Her research work has centred on the development of statistical methodology and the application of statistics to problems in genomics, proteomics and biomedical research. She enjoys working closely with scientific investigators from diverse backgrounds. Apart from research, she spends her time with her three energetic children. |
