Hub genes in a pan-cancer co-expression network show potential for predicting drug responses

Name	World Continuing Education Alliance
Activity Title	Hub genes in a pan-cancer co-expression network show potential for predicting drug responses
Details	The analysis of networks extracted from different types of “omics” data is a useful strategy to enable the characterization and prediction of meaningful properties of the underlying complex biological systems. Addressing the above-mentioned challenge is now possible thanks to the availability of large collections of data originating from thousands of drug experiments in cancer cell lines. Over the past few years, the investigation of cell line-based computational models for anti-cancer drug sensitivity prediction has been accelerated by publicly-funded efforts of large research consortia. In particular, the Cancer Cell Line Encyclopedia (CCLE). Here, we investigate the relationship between significant co-expression network hubs and drug responses (. Motivated by these findings, we used our 47 hub-based model to predict sensitivity scores for four glioblastoma (GBM) cell lines, including three (stem-like) cell lines that were not included in the discovery and validation datasets, agains...
Competence	Public Health
Start Date	<span class="not-set">(not set)</span>
End Date	<span class="not-set">(not set)</span>
Event Time	11:00 AM
Location	World Continuing Education Alliance eLearning System
Cost (UGX)	0
CPD Points	1