Biostatics Seminar Series: Yuping Zhang, PhD
February 28, 2020
10:00 am-11:00 am
UMass Amherst Campus
Integrative network learning from correlated multi-view data
Increasing high-dimensional multi-view data are being generated by modern biotechnologies. Examples include genome-wide characterization of variations in DNA sequence, DNA methylation, gene expression, etc. To facilitate the discovery of regulatory relationships among diverse types of features in biological systems and complex traits, it is necessary to integrate multi-view omics data. Furthermore, diverse biological systems and complex traits can share certain commonalities. Leveraging multi-view omics data from multiple related sources can be helpful to the discovery of common networks and modules. In this talk, I will introduce our work on integrative network learning from correlated multi-view data. This is a joint work with Qingyang Liu and others.
Dr. Yuping Zhang received her PhD in Statistics from Peking University. She received her postdoctoral training from Stanford University. She is now an Assistant Professor of Statistics at the University of Connecticut. Her research interests include statistical learning and inference, high-dimensional data analysis, graphical models, network analysis, and others.
The Campus Center is located in the middle of campus at 1 Campus Center Way. Parking is available in the Campus Center Garage.