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Principal Component Analysis

Known as: Analysis, Principal Component, Principal Component Analyses, PCA 
A vector space transform used to reduce the dimensionality in a dataset while retaining those characteristics of the dataset that contribute most to… Expand
National Institutes of Health

Papers overview

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Review
2019
Review
2019
Summary Background Early immunotherapy administration improves outcomes in patients with N-methyl-D-aspartate receptor (NMDAR… Expand
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Review
2019
Review
2019
A comprehensive review on the development and state of the art of colorimetric and fluorometric sensor arrays is presented… Expand
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Review
2018
Review
2018
  • Andrew Ferguson
  • Journal of physics. Condensed matter : an…
  • 2018
  • Corpus ID: 206082359
In many branches of materials science it is now routine to generate data sets of such large size and dimensionality that… Expand
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Review
2018
Review
2018
Although vast technological advances have been made and genetic software packages are growing in number, it is not a trivial task… Expand
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Review
2018
Review
2018
BackgroundNumerous centrality measures have been introduced to identify “central” nodes in large networks. The availability of a… Expand
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Highly Cited
2009
Highly Cited
2009
We present a penalized matrix decomposition (PMD), a new framework for computing a rank-K approximation for a matrix. We… Expand
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Highly Cited
2008
Highly Cited
2008
Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to… Expand
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Highly Cited
2006
Highly Cited
2006
Population stratification—allele frequency differences between cases and controls due to systematic ancestry differences—can… Expand
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Highly Cited
1999
Highly Cited
1999
Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based… Expand
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Highly Cited
1964
Highly Cited
1964
The paper provides various interpretations of principal components in the analysis of multiple measurements. A number of… Expand
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