Yes, proteomics is the large-scale study of proteins, particularly their expression and physical properties. Commonly quantitative methods used in proteomics are specific panels, 2D gel, LC-MS and LC-MS/MS.
Typical key functionality are investigate any structure in data using variance filtering combined with PCA, perform statistical filtering using ANOVA to enhance results or generate a list of proteins that classifies data based on a selection of statistical tests: F-test, t-tests or regression.
There are different supporting documents available. This (How to analyze Olink data A.pdf goes through how to analyze data from the Olink panels. |
