| Literature DB >> 24174567 |
Grant Hughes1, Charmion Cruickshank-Quinn, Richard Reisdorph, Sharon Lutz, Irina Petrache, Nichole Reisdorph, Russell Bowler, Katerina Kechris.
Abstract
MOTIVATION: Although R packages exist for the pre-processing of metabolomic data, they currently do not incorporate additional analysis steps of summarization, filtering and normalization of aligned data. We developed the MSPrep R package to complement other packages by providing these additional steps, implementing a selection of popular normalization algorithms and generating diagnostics to help guide investigators in their analyses. AVAILABILITY: http://www.sourceforge.net/projects/msprepMesh:
Year: 2013 PMID: 24174567 PMCID: PMC3866554 DOI: 10.1093/bioinformatics/btt589
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937