Hub Genes Identification in Brain Cancer with Gene Expression Data

被引：0

作者：

Senadheera, S. P. B. M. ^{[1
]}

Weerasinghe, A. R. ^{[1
]}

机构：

[1] Univ Colombo, Sch Comp, Colombo, Sri Lanka

来源：

2020 20TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER-2020) | 2020年

关键词：

PPI networks; Hub genes; Clustering; NETWORKS;

D O I：

10.1109/ICTer51097.2020.9325446

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Central nervous system (CNS) cancers are one of the leading cancer types in the world. Analysing gene hubs involved in CNS cancer is important for predicting therapies. We have used gene expression data from one of the common brain cancer type (Pheochromocytoma/paraganglioma (PCPG)) for hub gene identification. We have used density-based (MCODE and ClusterOne) algorithms and cytohubba tool to identify hub genes and, R and Cytoscape for data analysis. According to results, RPS4X and RPL37A are common hub genes in all networks. There are three hub gene networks (identified using MCODE and ClusterOne hub gene networks which can be used as a classification feature in future studies. HNRNPA2B1 gene is connecting major PPI complexes in PCPG cancers. Ribosomal protein S4 genes as hub genes play a significant role in PCPG protein interaction networks.

引用

页码：125 / 130

页数：6

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