Bayesian networks
Bayesian networks.
Bayesian networks.
Causal model selection. Mediation. Instrumental variables.
False discovery rate estimation.
Variance component models and Gaussian processes.
PCA. Probabilistic PCA.
Probability theory.
Ridge, lasso and elastic net regression.
Combinatorial clustering algorithms, K-means.
Linear algebra.
Mixture distributions
T-SNE, UMAP.
Causal model selection tutorial.
Illustration of gene regulatory network reconstruction and evaluation using data from E. coli.
Elastic net regression tutorial using CCLE data.
Optimization.
Illustrating data exploration and K-means clustering using TCGA breast cancer data.
Tutorial on dimensionality reduction of single-cell RNA-seq data using t-SNE and PCA.