Courses
Introduction to R Programming
This course introduces R as a core tool for biological data analysis, focusing on basic syntax, data structures, data manipulation, and visualization commonly used in bioinformatics and omics research.
Introduction to Machine Learning
This course covers fundamental machine learning concepts and methods with applications in biological data. It focuses on applying core algorithms to analyze, model, and interpret high-dimensional omics datasets.
Introduction to Microarray Analysis in R
This course focuses on the analysis of microarray gene expression data using R, including data preprocessing, normalization, differential expression analysis, and biological interpretation.
Computational Approaches in Drug Discovery
This course provides theoretical and practical training in open-source computational drug discovery, covering databases, QSAR modeling, molecular docking, molecular dynamics simulations, and ADME/Toxicity prediction.