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Browse by Subject: Biology returned 115 Citations! in 0.0006 seconds


Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
Principal component analysis (PCA) is a 100 year old mathematical technique credited to Karl Pearson.
Biology Direct   Electronic   Biology

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Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
cDNA microarray experiments provide a snapshot in time of gene expression levels across potentially thousands of genes and several time steps.
Biology Direct   Electronic   Biology

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Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
In his development of PCA, Pearson was interested in constructing a line or a plane that "best fits" a system of points in q-dimensional space.
Biology Direct   Electronic   Biology

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Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
Data obtained from cDNA microarray experiments are frequently "polished" or pre-processed.
Biology Direct   Electronic   Biology

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Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
Statistical entropy is derived from the negative binomial distribution where an experiment with two equally likely outcomes, labeled success or failure, is considered.
Biology Direct   Electronic   Biology

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Component retention in principal component analysis with application to cDNA microarray data   (2007)   Richard Cangelosi  Alain Goriely   
Principal component analysis is a powerful descriptive and technique for the analysis of microarray data.
Biology Direct   Electronic   Biology

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pkaPS: prediction of protein kinase A phosphorylation sites with the simplified kinase-substrate binding model   (2007)   Georg Neuberger  Georg Schneider  Frank Eisenhaber 
Phosphorylation is one of the biologically most important post-translational modifications known today.
Biology Direct   Electronic   Biology

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pkaPS: prediction of protein kinase A phosphorylation sites with the simplified kinase-substrate binding model   (2007)   Georg Neuberger  Georg Schneider  Frank Eisenhaber 
Phosphorylation plays a key role in a large set of signal transduction pathways and is known to regulate the functions of a vast number of different proteins.
Biology Direct   Electronic   Biology

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pkaPS: prediction of protein kinase A phosphorylation sites with the simplified kinase-substrate binding model   (2007)   Georg Neuberger  Georg Schneider  Frank Eisenhaber 
Protein kinase A (PKA), alternatively called cAMP-dependent protein kinase, is one of the best studied members of the kinase group of enzymes and, therefore, appears among the most attractive targets for substrate site predictor development.
Biology Direct   Electronic   Biology

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pkaPS: prediction of protein kinase A phosphorylation sites with the simplified kinase-substrate binding model   (2007)   Georg Neuberger  Georg Schneider  Frank Eisenhaber 
NETPHOS was one of the first to outperform simpler PROSITE-like approaches by applying artificial neural networks.
Biology Direct   Electronic   Biology

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