useR! 2024

The rise of advanced high-throughput sequencing technologies has led to a massive increase in the production of omics data, encompassing genomics, transcriptomics, proteomics, metagenomics, and more. To effectively explore and analyze omics data, specialized preprocessing techniques are essential, including feature normalization, selection, and aggregation. However, many of these specific methods were not initially available in the original 'recipes' package. As a response, we have developed an extension package, 'scimo', designed to seamlessly integrate these techniques into the 'tidymodels' ecosystem. 'scimo' offers a comprehensive suite of preprocessing steps tailored for omics data analysis, while remaining adaptable to other data types. During this presentation, we will showcase the capabilities of 'scimo' and provide insights into creating your own 'recipes' extension package. Additionally, we will discuss strategies to navigate the potential pitfalls that we have encountered during the development process. https://github.com/abichat/scimo