主 题: Biological Network Inference From Genomics Data
报告人: 赵宏宇 教授 （耶鲁大学）
时 间: 2012-12-14 14:00-15:00
地 点: 理科一号楼1114
Revealing networks of biological components is one of the key questions in
systems biology, and it has potential applications in understanding disease
physiology and drug discovery in the area of network medicine. With advances in
high throughput biology, we can now measure the expression levels and DNA
variations at the genome level, either through microarrays or next generation
sequencing. These data offer the opportunity to statistically infer genetic networks
from these data. In this presentation, we discuss several approaches for network
inference through jointly analyzing gene expression data under diverse conditions
in combination of DNA variation data. We provide both theoretical and simulation
results to investigate the properties of our procedures. We also demonstrate the
usefulness of our approaches through their applications to real data. This is joint
work with Hyonho Chun, Bing Li, Ruiyan Luo, Haisu Ma, and Xianghua Zhang.
