Functions for profile processing, data baseline correction, imputation of low or missing values, outlier detection, data checking, data transformations, linear discriminant analysis in high dimensional space, general routines for robust validation of classifiers and feature ranking. More details are available in the paper Preprocessing, classification modeling and feature
selection using flow injection electrospray mass
spectrometr y metabolite fingerprint data published in Nature Protocols.
| Version: | 1.1-0 |
| Depends: | R (>= 2.0.0), e1071, randomForest, class, MASS, ncdf, impute, |
| | KernSmooth, RColorBrewer, xtable, plotrix |
| Date: | 2007-10-16 |
| Authors: | Manfred Beckmann, David Enot and Wanchang Lin |
| Maintainer: | Wanchang Lin |
| License: | GPL version 2 or newer |
Downloads:
Illustrated workflow:
Additional informations for the advanced use of FIEmspro:
Rarmec - Interfacing R with ARMeC
Set of functions to query ARMeC database directly during and/or after the data analysis process. This package is the companion of the Nature Protocols paper Explanatory Signal Interpretation and Metabolite Identification Strategies for Nominal Mass FIE-MS Metabolite Fingerprints.
| Version: | 1.0 |
| Depends: | R (>= 2.0.0) |
| Date: | 2007-09-18 |
| Authors: | David Enot and Chuan Lu |
| Maintainer: | David Enot |
| License: | GPL version 2 or newer |
Downloads: