Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. To gain a holistic understanding of biological systems, layers of molecular information – or the omics, including transcriptomics, proteomics, metabolomics, metagenomics – must be statistically integrated.

 

This short course provides the necessary training in statistical data analysis for complex biological data using the renowned integrative analysis R toolkit, package mixOmics.

 

This course will be useful to researchers at all levels who work with high-throughput omics data, and are seeking the skills to obtain new and deeper insights into biological mechanisms and biomedical problems being faced.

 

The course is developed and taught by leading researcher, Kim-Anh Lê Cao.

 

Learn to explore, integrate and interpret data

Be trained in data exploration, integration and interpretation in order to analyse complex biological data. Learn to evaluate the appropriateness of different data integration methods for a given biological question, and interpret the outputs of each method.