学术报告
题目：Progresses and challenges in analyzing cancer genomics data
报告人： Cheng Li, Ph.D
Department of Biostatistics and Computational Biology，Dana-Farber Cancer Institute
Harvard School of Public Health
时间： Friday 10:30a.m. June 1
地点：生命科学学院411会议室
Tumor cells frequently harbor an abnormal genome with gains or losses of large chromosome regions or entire chromosomes that affect the expression level of hundreds of genes. These changes often correlate with patient prognosis. How do they contribute to tumor initiation and progression and affect patient outcomes, together with other genomic changes such as mutations and methylation? Latest technologies generate genome-wide data of multiple types that capture snapshots of cancer genomes. At very high dimension, such data challenge existing and motivate novel statistical and computational methods to analyze them. The challenges also arise from the context of incompletely known but dynamic biological networks that genes and proteins interact. I will present our efforts in this big trend of integrating multiple genomic data types, such as the use of TF-miRNA feed-forward loops (FFLs) to explain expression variation and infer TF-miRNA regulatory pathways playing roles in cancer biology.
欢迎各位老师和同学积极参加！