Abstract:
:The approach adopted involved two-stages. First the 11205 measurements in the mass spectrometry data were reduced to 14 scores by a principal component analysis of the centered but otherwise untreated and unscaled data matrix. Then a linear classifier was derived by linear discriminant analysis using these 14 scores as inputs. This number of scores was chosen by leave-one-out cross-validation on the training set, where it gave an overall error rate of 14%. Some indication of the information used in the classification may be obtained from an inspection of the coefficients of the linear classifier.
journal_name
Stat Appl Genet Mol Biolauthors
Fearn Tdoi
10.2202/1544-6115.1350subject
Has Abstractpub_date
2008-01-01 00:00:00pages
Article6issue
2eissn
2194-6302issn
1544-6115journal_volume
7pub_type
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