Slavov Laboratory | Quantitative Biology
Statistics for Proteomics
YouTube play list
An introduction to data analysis with focus on mass-spectrometry proteomics. Topics include data normalization, quality control, bias correction, clustering, and gene set enrichment analysis.
Data integration and analysis. Standards for benchmarking quantification.
An introduction to incorporating data reliability into analysis with a focus on errors-in-variables modeling and data analysis.