Software Platform for Analyzing Gene and Disease Relevance


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 2, pp. 51-60, Feb. 2019
https://doi.org/10.3745/KTSDE.2019.8.2.51, Full Text:
Keywords: Analytics, Software Platform, Algorithms, Gene, Optimization
Abstract

While the quality of life is enhanced as many types of diseases are remedied, there is a high demand for analysis and research on gene-related diseases. There exists various forms and requirements in analyzing the relevance between genes and diseases, and the runtime efficiency can be decreased due to the level of algorithm optimization. This paper proposes a platform for analyzing gene disease relevance, provides API for remedying the variability issue, and suggests two algorithms which optimize the runtime efficiency. And, we conduct experiments for measuring the relevancy using the analysis API, and compare the two algorithms. The first algorithm is to improve the runtime efficiency comparing to the conventional methods, and the second algorithm is to improve the runtime efficiency with lower accuracy. This platform can be well utilized for analyzing various forms of gene disease analytics.


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Cite this article
[IEEE Style]
M. H. Song and S. D. Kim, "Software Platform for Analyzing Gene and Disease Relevance," KIPS Transactions on Software and Data Engineering, vol. 8, no. 2, pp. 51-60, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.2.51.

[ACM Style]
Myeong Ho Song and Soo Dong Kim. 2019. Software Platform for Analyzing Gene and Disease Relevance. KIPS Transactions on Software and Data Engineering, 8, 2, (2019), 51-60. DOI: https://doi.org/10.3745/KTSDE.2019.8.2.51.