E-MUSE

10:00-11:00 Lecture - Introduction to R: installation, Rstudio, workspace, packages, Rmarkdown, data (types and structures), functions

11:00-11:30 Coffee break

11:30-13:00 Lecture - Introduction to R: installation, Rstudio, workspace, packages, Rmarkdown, data (types and structures), functions

13:00-14:00 Lunch break

14:00-17:00 Lecture

10:00-11:00 Lecture - Statistical test, null hypothesis, type I/II errors + simulations

11:00-11:30 Coffee break

11:30-13:00 Lecture - Statistical test, null hypothesis, type I/II errors + simulations

13:00-14:00 Lunch break

14:00-17:00 Lecture - ANOVA, GLM, case study

10:00-11:00 Lecture - Differential gene expression analyses of microbial communities

11:00-11:30 Coffee break

11:30-13:00 Lecture - Differential gene expression analyses of microbial communities

13:00-14:00 Lunch break

14:00-15:30 Differential gene expression analyses of microbial communities: RNAseq, DESeq2, Metatranscriptomics and normalisation

15:30-17:00 ESRs meeting

10:00-11:00 Lecture - Multivariate analysis: PCA, LDA PLS-DA, clustering

11:00-11:30 Coffee break

11:30-13:00 Lecture - Multivariate analysis: PCA, LDA PLS-DA, clustering

13:00-14:00 Lunch break

14:00-17:00 Statistical data integration: two bloc integration (PLS, mixOmics), multi-block integration (block-PLS, mixOmics), Kernel integration (block-PLS, mixKernel)

10:00-11:00 Lecture - Introduction to networks, definitions and centrality measures, network diffusion

11:00-11:30 Coffee break

11:30-13:00 Lecture - Introduction to networks, definitions and centrality measures, network diffusion

13:00-14:00 Lunch break

14:00-17:00 Network reconstruction with correlation-like measures, community identification