Hamilton Institute Seminar

Wednesday, March 30, 2022 - 13:00 to 14:00
Zoom

https://us02web.zoom.us/j/88018185733?pwd=OEcxb2ZSYUwzV2hWTE9wcE1yTWRUQT09
Passcode: 279596

Speaker: Professor Huiru (Jane) Zheng, Ulster University

Title: "Network-based approaches to biological data analysis"

Abstract: Biological systems are inherently complex in nature across multiple diverse temporal, spatial and functional scales. In recent years, novel network-based approaches have been introduced and developed to deepen the understanding of complex biological systems and human diseases from heterogeneous data types. Over the past years, we have developed and applied network-based approaches to integrative analysis of lifestyle data, multi-omics data (e.g. genomics, transcriptomics, proteomics, and metabolomics), and medical data to tackle complicated tasks such as the discovery of biomarkers, understanding of biological interactions, identification of complex disease patterns. In this talk, Prof. Zheng will introduce the network approaches, present a cluster of her team’s recent work in this area, with a focus on multi-layer network approaches. Some results on metagenomics analysis, disease subtypes identification, and similarity disease identification will be presented. The presentation will conclude with the discussion of challenges and opportunities in multiscale computing and multiplex networks. 

Biography