The following images are ready to run the notebooks below.
Image ready to run R 4.1.0, Rstudio, Mixomics 6.16.3, MOFA2 1.3.4, among others.
Run with docker run ruibenfeitas/rstudio:30_08_2021
Image ready to run Python 3.9.6, Jupyter, igraph, scikit-learn, among others.
Run with docker run ruibenfeitas/jupyter:30_08_2021
Data pre-processing notebook - data overview, cleaning, imputation, anomaly detection, dimensionality reduction, and normalization.
Multi-omic network analysis - network inference, topology, centrality analysis, and community interrogation in a transcriptomic / metabolomic network.
Introduction to Genome-scale metabolic modeling in python - brief introduction into flux prediction and analysis of a genome-scale metabolic network.