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Multi-omic data science with R/Bioconductor

Welcome to Oulu Summer School, June 2023

See the course announcement at the course home page

ML4microbiome

Figure source: Moreno-Indias et al. (2021) Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions. Frontiers in Microbiology 12:11.

Rendering the book

View the book locally in R:

bookdown::serve_book()

Render the book locally in R:

bookdown::render_book()

Acknowledgments

Citation "Multi-omic data science with R/Bioconductor (2023). Tuomas Borman and Leo Lahti. URL: https://microbiome.github.io/course_2023_oulu/"

Contact

License All material is released under the open CC BY-NC-SA 3.0 License.

The source code of this repository is fully reproducible and contains the Rmd files with executable code. All files can be rendered at one go by running the file main.R. You can check the file for details on how to clone the repository and convert it into a gitbook, although this is not necessary for the training.

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