Abstract
Recently, computer intelligent analysis as a significant technical means to discuss the differential mutant genes expression with the PPI network is current hot issues. In this paper, we mainly focus on discussing the relationship between endometrial cancer (EC) and ovarian cancer (OC) based on the gene expression, which could be classified into typical 13 categories after clustering processing over PPI network. Especially for the further analysis of homologous and heterogeneous genes’ comparison based on the similar protein function expression, we present a categorical scale to calculate the probability of endometrial cancer metastasizes to ovarian cancer by statistical method.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 61701104), and by the Science and Technology Development Plan of Jilin Province, China (No.20190201194JC).
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Zhou, T.H., Pu, W.J., Xie, H., Zhang, L.Y., Wang, L. (2021). Gene Expression PPI Network Clustering Analysis Between Endometrial Cancer and Ovarian Cancer. In: Pan, JS., Li, J., Namsrai, OE., Meng, Z., Savić, M. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 211. Springer, Singapore. https://doi.org/10.1007/978-981-33-6420-2_24
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DOI: https://doi.org/10.1007/978-981-33-6420-2_24
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