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Like many bioinformatic researchers, I’m a self-taught programmer and realized the role of programming testing only years later. Recently, I started to look into testing as my projects grew in sizes and dependencies. Some quick search led to Test-Driven Development, but this strict framework turned out unsuitable for my research projects, full of trials and errors. To find suitable testing solutions for programming in exploratory research, I did more specific readings. This blog will focus on testing research projects especially data science and machine learning applications. …


bioinformatics Ph.D. Candidate at UGA. Working on metabolomics and ML

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