1. komponenta

Lecture type	Total
Lectures	10
Practicum	10

Lectures: Sources and scales of data. Distribution of data (comparison, normalitiy testing). Descriptive statistics. Statistical tests. Power of test, effect size, determining necessary sample size. Chi-square and analyses of variance. Non-parametric statistics. Correlation and regression. Multivariate statistics: multiple regressions, cluster analyses, ordination methods (PCA, RDA, CCA), CART. Gene set enrichment analysis, multiple hypothesis testing.
Practicals: Practicals will be performed in computer lab, and will be related to the lectures.

Mandatory course - Regular study - Biology