specmine - RASpicer/MetabolomicsTools GitHub Wiki
specmine
Version: 1
Website
https://cran.r-project.org/web/packages/specmine/index.html
Description
This CRAN package provides tools for metabolomics preprocessing, identification and statistical analysis. Functions for preprocessing include: background correction, baseline correction, offset correction, feature selection, filtering, peak grouping, missing value imputation (K-NN, linear approximation, mean, median or value replacement), mean centering, multiplicative scatter correction, normalisation (sum, median, reference sample or reference feature), scaling (auto, range, pareto or interval) and shift correction (constant, interpolation) . Statistics provided include: ANOVA, clustering, correlation, FC analysis, heatmaps, HCA, k-means clustering, Kruskal-Wallis Test, Kolmogorov-Smirnov Test, linear regression, AUC, multifactor ANOVA, PCA and t-tests. There are also functions for the visualisation of data including box plots, volcano plots and spectra. It can take data in the ChemoSpec and hyperspec formats and convert it for further analysis. xcmsSets can be imported for metabolite identification, using the MAIT package.
Functionality
- Workflow
Instrument Data Type
- NMR
- IR
- UV/VIS
- Raman
- MS/LC-MS
- MS/GC-MS
Approaches
Computer Skills
Advanced
Software Type
R Package
Interface
Command line interface
Operating System (OS)
- Unix/Linux
- Mac OS
- Windows
Language
R
Dependencies
R (≥ 3.1.0)
Input Formats - Open
Matrix, .csv, .jdx, .dx, .spc
Input Formats - Proprietary
N/A
Published
2015
Last Updated
2015
License
GPL-2 | GPL-3
Paper
http://www.ncbi.nlm.nih.gov/pubmed/26853041
PMID
26853041