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A neuro-fuzzy approach for functional genomics data interpretation and analysis

✍ Scribed by Daniel Neagu; Vasile Palade


Publisher
Springer-Verlag
Year
2003
Tongue
English
Weight
436 KB
Volume
12
Category
Article
ISSN
0941-0643

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Principal component analysis is a useful method for analysing data-matrices. By analysing separate class models, i.e. disjoint principal component modelling as in the SIMCA or FCVPC programs (developed for supervised and unsupervised principal component analysis respectively), the principal componen