HIGHLIGHTS
- who: BioMed Central and colleagues from the The University of Birmingham, Edgbaston, Birmingham, TT, UK have published the research: Bio Med Central, in the Journal: (JOURNAL) of 13/01/2007
SUMMARY
Classifying the fingerprint of an NMR spectrum is a crucial step in many metabolomics experiments. Since many classification techniques such as principal component analysis (PCA) depend upon variance discrepancies, it is important to first maximise any contribution from wanted class variance between biological samples and minimise any contribution from unwanted technical variance arising from the preparation of the samples and measurement of . . .
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