Statistics
- Linear and non-linear models (multiple linear regression, generalized linear models, nonlinear regression)
- Hypothesis testing (t-test, Wilcoxon rank-sum test, ANOVA, ANCOVA)
- Dimensionality reductions (PCA, PLS-DA, UMAP, t-SNE)
Machine Learning
- Supervised (classification and regression)
- Unsupervised (clustering, dimensionality reductions)
- Self-supervised (contrastive and noncontrastive)
Wet-lab Techniques
Molecular biology
- PCR
- qPCR
- Western blotting
- Genetic transformation
- Sanger sequencing
- Next generation sequencing (NextSeq 2000)
- Flow cytometry
Microbiology
- Bacterial culture
- Microscopy
- Pathogen identification
Biotechnology
- Fermentation
- Plant tissue culture
- Testing bioactive propeties of compopunds in animal models