Incorporating Prior Knowledge of Principal Components in Genomic Prediction
Frontiers in Genetics, 2018 Genomic prediction using a large number of markers is challenging, due to the curse of dimensionality as well as multicollinearity arising from linkage disequilibrium between markers.
Sayed M. Hosseini-Vardanjani +3 more
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Integrated Principal Components Analysis
, 2018 Data integration, or the strategic analysis of multiple sources of data simultaneously, can often lead to discoveries that may be hidden in individualistic analyses of a single data source. We develop a new unsupervised data integration method named Integrated Principal Components Analysis (iPCA), which is a model-based generalization of PCA and serves
Tang, Tiffany M., Allen, Genevera I.
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Principal components′ analysis of multifocal electroretinogram in retinitis pigmentosa
Indian Journal of Ophthalmology, 2011 Aims : To determine waveforms of multifocal electroretinogram (mfERG) in patients with retinitis pigmentosa (RP) contributing significantly to the overall retinal response by using principal components′ analysis.
Aniruddha Maiti +4 more
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Permutation tests to estimate significances on Principal Components Analysis [PDF]
Computational Ecology and Software, 2012 Principal Component Analysis is the most widely used multivariate technique to summarize information in a data collection with many variables. However, for it to be valid and useful the meaningful information must be retained and the noisy information ...
Vasco M. N. C. S. Vieira
doaj
Decomposing the Apoptosis Pathway Into Biologically Interpretable Principal Components
Cancer Informatics, 2018 Principal component analysis (PCA) is one of the most common techniques in the analysis of biological data sets, but applying PCA raises 2 challenges. First, one must determine the number of significant principal components (PCs). Second, because each PC
Min Wang +2 more
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Caracterização e Divergência Genética de Populações de Casearia grandiflora no Cerrado Piauiense
Floresta e AmbienteRESUMO Casearia grandiflora (Salicaceae) é uma espécie típica do cerrado piauiense, o conhecimento da diversidade genética dessa espécie é de grande importância para estabelecimento de práticas e estratégias de conservação biológica.
Marcones Ferreira Costa +6 more
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THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
Contemporary Economy, 2016 The article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company.
Aneta Oniszczuk-Jastrząbek
doaj
Estimating the number of principal components via Split-Half Eigenvector Matching (SHEM). [PDF]
MethodsX, 2023 Gladwin TE.
europepmc +1 more source
Principal Components and Cluster Analysis of Trace Elements in Buckwheat Flour. [PDF]
Foods, 2023 Zhao M, Gou J, Zhang K, Ruan J.
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Limitations of principal components in quantitative genetic association models for human studies. [PDF]
Elife, 2023 Yao Y, Ochoa A.
europepmc +1 more source