Making a complete toolbox for quantitative biological data analyses | Susan Holmes | WiDS 2017
Dr. Holmes shares a survey of the current challenges in the analyses of heterogeneous biological data. Combining networks, contingency tables and data from multiple omics domains provides the analysts with multiple choices. The result can be an erroneous p-value or a complicated workflow, both can be irreproducible. I will survey some of the recent approaches to this challenge. Dr. Susan Holmes, Professor of Statistics, describes processes for analyzing large messy microbiome data sets, and the importance of reproducibility.
Share this session