An R/Bioconductor package for gene set analysis Overview of piano Gene set analysis using a variety of methods Piano is used for running gene set analysis (GSA) using a selection of available methods (some of which are also implemented in separate packages or other software) and starting from different kinds of gene level statistics. The…
lmm2met Linear mixed-effects modeling to improve clinical metabolomics information. Version: 1.0 (12 September 2018) Description Linear mixed-effects modelling for normalization of clinical metabolomics data by using subject metada. Installation and Running Require R software Install lmm2met using the following commands #Install devtools R package, if not exist install.packages(‘devtools’, repos=”http://cran.rstudio.com/”) library(devtools) #Install lmm2met install_github(‘kwanjeeraw/lmm2met’) Documentation see…
Metabox 2.0 Metabox 2.0: A toolbox for thorough metabolomic data analysis, integration and interpretation. Description Metabox 2.0 is an updated version of the R package Metabox, released in 2016. The tool includes several methods for data processing, statistical analysis, biomarker analysis, integrative analysis and data interpretation. Metabox 2.0 supports a wide range of users, from…