Cancer Patient Specific Driver Gene Identification by Personalized Gene Network and PageRank


KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 547-554, Dec. 2021
https://doi.org/10.3745/KTSDE.2021.10.12.547,   PDF Download:
Keywords: Cancer Driver Gene, Gene Network, PageRank, Multi Omics Analysis
Abstract

Cancer patients can have different kinds of cancer driver genes, and identification of these patient-specific cancer driver genes is an important step in the development of personalized cancer treatment and drug development. Several bioinformatic methods have been proposed for this purpose, but there is room for improvement in terms of accuracy. In this paper, we propose NPD (Network based Patient-specific Driver gene identification) for identifying patient-specific cancer driver genes. NPD consists of three steps, constructing a patient-specific gene network, applying the modified PageRank algorithm to assign scores to genes, and identifying cancer driver genes through a score comparison method. We applied NPD on six cancer types of TCGA data, and found that NPD showed generally higher F1 score compared to existing patient-specific cancer driver gene identification methods.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. H. Won, P. J. Woo, A. J. Gyoon, "Cancer Patient Specific Driver Gene Identification by Personalized Gene Network and PageRank," KIPS Transactions on Software and Data Engineering, vol. 10, no. 12, pp. 547-554, 2021. DOI: https://doi.org/10.3745/KTSDE.2021.10.12.547.

[ACM Style]
Jung Hee Won, Park Ji Woo, and Ahn Jae Gyoon. 2021. Cancer Patient Specific Driver Gene Identification by Personalized Gene Network and PageRank. KIPS Transactions on Software and Data Engineering, 10, 12, (2021), 547-554. DOI: https://doi.org/10.3745/KTSDE.2021.10.12.547.