The application of R language in molecular epidemiology

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Affiliation: School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Keywords: R language Molecular epidemiology Graduate students in medical colleges

DOI: 10.12173/j.issn.1004-4337.202309020

Reference: Wu N, Song HL. The application of R language in molecular epidemiology[J]. Journal of Mathematical Medicine, 2023, 36(11): 797-802. DOI: 10.12173/j.issn.1004-4337.202309020 [Article in Chinese]  Copied

Abstract
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Abstract

By comparing the characteristics of R language and SPSS software, this paper focused on the application advantages of R language in molecular epidemiology. As a free and open source programming language, R language has powerful data processing and analysis capabilities, which is suitable for processing large-scale and complex molecular data. Its extensive statistical functions and packages enable graduate students in medical colleges to conduct advanced statistical modeling and bioinformatics analysis to meet the needs of molecular epidemiological research. Through the application examples of R language in molecular epidemiology research, the function of R language in analyzing relevant data was demonstrated. Teachers in medical colleges and universities should train graduate students to master the ability to process and analyze big data using R language according to the requirements of the times and practical needs.

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