Understanding Diseases through Gene Correlational Network – Seminar

Department of Quantitative Health Sciences
SEMINAR
BIOM 646
Understanding Diseases through Gene Correlational Network

In this Big Data era with the fast accumulation of high-throughput omic data, there is an urgent need for reliable and robust methods to decrease data dimensionality, integrate data from multiple sources, and identify hidden molecular connections for human diseases. In this talk, Dr. Zhang will introduce our research on cancer and neurodegenerative diseases using gene correlational networks to integrate multiple transcriptomic datasets to identify disease biomarkers, novel disease genes and pathways. This approach is also applied to Alzheimer’s disease brain, to characterize the underlying cellular-composition induced transcriptomic changes, and identify AD specific co-expression modules which may lead to potential therapeutical targets.

Jie Zhang, Ph.D.
Assistant Professor
Indiana University School of Medicine

Thursday, April 1, 2021
12:00 – 1:00 PM HS

Zoom Details and more information, contact Dr. Eunjung Lim at Tel. 692-1817 or Email: lime@hawaii.edu

Sponsored by the Ola HAWAII Bioinformatics Core

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