## Abstract Candidate gene association studies often utilize one single nucleotide polymorphism (SNP) for analysis, with an initial report typically not being replicated by subsequent studies. The failure to replicate may result from incomplete or poor identification of diseaseβrelated variants or
β¦ LIBER β¦
A genetic approach for selection of (near-) optimal subsets of principal components for discrimination
β Scribed by M. Prakash; M. Narasimha Murty
- Book ID
- 107920034
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 563 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Principal component analysis for selecti
β
Benjamin D. Horne; Nicola J. Camp
π
Article
π
2003
π
John Wiley and Sons
π
English
β 127 KB
A Simple Rule for the Selection of Princ
β
Karlis, Dimitris; Saporta, Gilbert; Spinakis, Antonis
π
Article
π
2003
π
Taylor and Francis Group
π
English
β 283 KB
Comparison of Prediction- and Correlatio
β
Verdu-Andres, J.; Massart, D. L.
π
Article
π
1998
π
Society for Applied Spectroscopy
π
English
β 232 KB
A comparison of simulated annealing algo
β
Brusco, Michael J.
π
Article
π
2014
π
Elsevier Science
π
English
β 645 KB
Principal component variable discriminan
β
Nils B. Vogt
π
Article
π
1988
π
John Wiley and Sons
π
English
β 271 KB
π 2 views
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
A Principal Component Regression Approac
β
Lipponen, J.A.; Tarvainen, M.P.; Laitinen, T.; Lyyra-Laitinen, T.; Karjalainen,
π
Article
π
2010
π
IEEE
π
English
β 784 KB