In metabolomics the goal is to identify and measure the concentrations of different metabolites (small molecules) in a cell or a biological system. The metabolites form an important layer in the complex metabolic network, and the interactions between different metabolites are often of interest. It is crucial to perform proper normalization of metabolomics data and here we share the code for a normalization approach based on a mixed model, with simultaneous estimation of a correlation matrix. The methodology is implemented in R.
Categories
StatisticsLicense
GNU General Public License version 2.0 (GPLv2)Follow metabnorm
Other Useful Business Software
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of metabnorm!