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Component retention in principal component analysis with application to cDNA microarray data.

Cangelosi R, Goriely A.

Biol Direct. 2007 Jan 17;2:2.PMID: 17229320 [PubMed]Related articlesFree article

Independent component analysis of Alzheimer's DNA microarray gene expression data.

Kong W, Mou X, Liu Q, Chen Z, Vanderburg CR, Rogers JT, Huang X.

Mol Neurodegener. 2009 Jan 28;4(1):5.PMID: 19173745 [PubMed - as supplied by publisher]Related articlesFree article

Test of linear trend in eigenvalues of a covariance matrix with application to data analysis.

Bentler PM, Yuan KH.

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Classification for high-throughput data with an optimal subset of principal components.

Song JJ, Ren Y, Yan F.

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Microarray-based gene set analysis: a comparison of current methods.

Song S, Black MA.

BMC Bioinformatics. 2008 Nov 27;9:502.PMID: 19038052 [PubMed - indexed for MEDLINE]Related articlesFree article

Performance of principal component analysis and independent component analysis with respect to signal extraction from noisy positron emission tomography data - a study on computer simulated images.

Razifar P, Muhammed HH, Engbrant F, Svensson PE, Olsson J, Bengtsson E, Långström B, Bergström M.

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Novel and simple transformation algorithm for combining microarray data sets.

Kim KY, Ki DH, Jeong HJ, Jeung HC, Chung HC, Rha SY.

BMC Bioinformatics. 2007 Jun 25;8:218.PMID: 17588268 [PubMed - indexed for MEDLINE]Related articlesFree article

Conformational states and folding pathways of peptides revealed by principal-independent component analyses.

Nguyen PH.

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A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling.

Hemmateenejad B, Elyasi M.

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Simultaneous kinetic determination of thiocyanate and sulfide using eigenvalue ranking and correlation ranking in principal component-wavelet neural network.

Ensafi AA, Khayamian T, Tabaraki R.

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Effects of clustering herds with small-sized contemporary groups in dairy cattle genetic evaluations.

Vasconcelos J, Santos F, Bagnato A, Carvalheira J.

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Dimension reduction of microarray data in the presence of a censored survival response: a simulation study.

Nguyen TS, Rojo J.

Stat Appl Genet Mol Biol. 2009 Jan;8(1):Article 4. Epub 2009 Jan 21.PMID: 19222387 [PubMed - indexed for MEDLINE]Related articlesFree article

Chemical rank estimation by noise perturbation in functional principal component analysist.

Xu CJ, Liang YZ, Li Y, Du YP.

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Estimating effective degrees of freedom in motor systems.

Clewley RH, Guckenheimer JM, Valero-Cuevas FJ.

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Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data.

Truntzer C, Mercier C, Estève J, Gautier C, Roy P.

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Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes.

Chen X, Wang L, Smith JD, Zhang B.

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Principal component analysis versus fuzzy principal component analysis A case study: the quality of danube water (1985-1996).

Sârbu C, Pop HF.

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Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements.

Caprihan A, Pearlson GD, Calhoun VD.

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Cox survival analysis of microarray gene expression data using correlation principal component regression.

Zhao Q, Sun J.

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Principal-component characterization of noise for infrared images.

López-Alonso JM, Alda J, Bernabéu E.

Appl Opt. 2002 Jan 10;41(2):320-31.PMID: 11899271 [PubMed]Related articles