Academic Journal of Computing & Information Science, 2020, 3(4); doi: 10.25236/AJCIS.2020.030410.
Hongyu Chen, Tingchun Shi*
School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Prostate cancer(PRAD) is one of the most common malignant tumor diseases in men around world. In this study, we chose PRAD as research object, establish a set of bioinformatics algorithm on the basis of the network analysis, and excavate the main biological processes as well as key targets for the occurrence and development of PRAD from a new perspective, so as to provide a new solution for the research on the treatment of PRAD. Specifically, this study chose the transcriptome data of PRAD contained in the Cancer Genome Atlas(TCGA) database as the research object, and apply the FC-t algorithm and Pearson correlation coefficients to analyze and build the gene co-expression network. Moreover, we performed Mcode algorithm and the GO/Reactome enrichment analysis so as to excavate the main biological processes in the development of PRAD. Consequently, we find five genes (C2orf72, CAMKK2, FGFRL1, HPN, UCN) which play key roles in PRAD, and six types of biological processes related to the development of the PRAD. These provide new ideas for subsequent research on PRAD.
bioinformatics algorithms, gene coexpression networks, prostate cancer, network analysis
Hongyu Chen, Tingchun Shi. Study on the Pathogenesis of Prostate Cancer Based on Network Analysis. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 4: 86-94. https://doi.org/10.25236/AJCIS.2020.030410.
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