References
Bioinformatics Tools
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Preface
Foundations
1
Session 1: Initial diagnostic and essential commands
2
Session 2: Shell, biological formats, and quality control
3
Session 3: Sequence similarity and phylogeny
Data analysis with R
4
Session 4: Biological tables, plots and linear models in R
5
Session 5: Many variables at once: PCA, heatmaps and PLS-DA
6
Session 6: Genome-wide association: thousands of linear models and one confounder
Machine learning
7
Session 7: Artificial intelligence: from rules to machine learning and deep learning
References
References
Code
7
Session 7: Artificial intelligence: from rules to machine learning and deep learning
Source Code
# References {.unnumbered}
::: {#refs}
:::