principal component analysis (pca) toolboxes Search Results


principal components analysis (pca) in arcgis 10.1  (Esri inc)
90
Esri inc principal components analysis (pca) in arcgis 10.1
Principal Components Analysis (Pca) In Arcgis 10.1, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
principal components analysis (pca) in arcgis 10.1 - by Bioz Stars, 2026-05
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principal component analysis (pca)  (Addinsoft inc)
90
Addinsoft inc principal component analysis (pca)
Principal Component Analysis (Pca), supplied by Addinsoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analysis (pca)/product/Addinsoft inc
Average 90 stars, based on 1 article reviews
principal component analysis (pca) - by Bioz Stars, 2026-05
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principal component analysis (pca)  (RStudio)
90
RStudio principal component analysis (pca)
Principal Component Analysis (Pca), supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analysis (pca)/product/RStudio
Average 90 stars, based on 1 article reviews
principal component analysis (pca) - by Bioz Stars, 2026-05
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principal component analysis (pca)  (GraphPad Software Inc)
90
GraphPad Software Inc principal component analysis (pca)
Principal Component Analysis (Pca), supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analysis (pca)/product/GraphPad Software Inc
Average 90 stars, based on 1 article reviews
principal component analysis (pca) - by Bioz Stars, 2026-05
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pca using biovinci software  (BioTuring Inc)
90
BioTuring Inc pca using biovinci software
Pca Using Biovinci Software, supplied by BioTuring Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pca using biovinci software/product/BioTuring Inc
Average 90 stars, based on 1 article reviews
pca using biovinci software - by Bioz Stars, 2026-05
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principal component analyses (pca)  (OriginLab corp)
90
OriginLab corp principal component analyses (pca)
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Principal Component Analyses (Pca), supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analyses (pca)/product/OriginLab corp
Average 90 stars, based on 1 article reviews
principal component analyses (pca) - by Bioz Stars, 2026-05
90/100 stars
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principal components analysis sas proc princomp  (SAS institute)
90
SAS institute principal components analysis sas proc princomp
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Principal Components Analysis Sas Proc Princomp, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal components analysis sas proc princomp/product/SAS institute
Average 90 stars, based on 1 article reviews
principal components analysis sas proc princomp - by Bioz Stars, 2026-05
90/100 stars
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chi-square and principal component analysis chi-pca  (CH Instruments)
90
CH Instruments chi-square and principal component analysis chi-pca
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Chi Square And Principal Component Analysis Chi Pca, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/chi-square and principal component analysis chi-pca/product/CH Instruments
Average 90 stars, based on 1 article reviews
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principal component analysis (pca) sas 9.4  (SAS institute)
90
SAS institute principal component analysis (pca) sas 9.4
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Principal Component Analysis (Pca) Sas 9.4, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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principal component analysis (pca)  (vsn international)
90
vsn international principal component analysis (pca)
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Principal Component Analysis (Pca), supplied by vsn international, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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principal component analysis (pca)  (SPSS Inc)
90
SPSS Inc principal component analysis (pca)
Chemometrics analysis of the physiological data. (A) <t>Principal</t> <t>component</t> analysis <t>(PCA)</t> of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.
Principal Component Analysis (Pca), supplied by SPSS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analysis (pca)/product/SPSS Inc
Average 90 stars, based on 1 article reviews
principal component analysis (pca) - by Bioz Stars, 2026-05
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principal component analysis (pca)  (GeneLAB GmbH)
90
GeneLAB GmbH principal component analysis (pca)
The global transcriptomics differences on livers from mice flown in space compared to ground controls. Clustering of individual biological liver samples from mice for each transcriptomics dataset (STS-135, RR1, <t>and</t> <t>RR3)</t> from GeneLab utilizing t-Distributed Stochastic Neighbor Embedding (t-SNE) (upper plots) and Principal Component Analysis <t>(PCA)</t> (lower plots) comparing Spaceflight samples to ground controls. Lines are drawn in the t-SNA plots to visually separate the flight samples from the ground controls. The axis for t-SNE plots are arbitrary. The variance for the PCA plots is indicated in the axis. The coordinates of each point in each plot represents the two most important gene pattern contributions (e.g. principal component for PCA) of individual biological replicates. Each replicate is obtained from individual mice exposed to the same experimental conditions. Two points in close proximity suggests a very similar gene expression pattern between the two corresponding samples.
Principal Component Analysis (Pca), supplied by GeneLAB GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/principal component analysis (pca)/product/GeneLAB GmbH
Average 90 stars, based on 1 article reviews
principal component analysis (pca) - by Bioz Stars, 2026-05
90/100 stars
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Image Search Results


Chemometrics analysis of the physiological data. (A) Principal component analysis (PCA) of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.

Journal: Frontiers in Plant Science

Article Title: Integrated physiological and transcriptomic analyses reveal the molecular mechanism behind the response to cultivation in Quercus mongolica

doi: 10.3389/fpls.2022.947696

Figure Lengend Snippet: Chemometrics analysis of the physiological data. (A) Principal component analysis (PCA) of the physiological indices. (B) Orthogonal partial least squares discriminant analysis (OPLS-DA) for the physiological parameters.

Article Snippet: Data standardization and principal component analyses (PCA) were performed in (Originlab, Northampton, MA, United States).

Techniques:

The global transcriptomics differences on livers from mice flown in space compared to ground controls. Clustering of individual biological liver samples from mice for each transcriptomics dataset (STS-135, RR1, and RR3) from GeneLab utilizing t-Distributed Stochastic Neighbor Embedding (t-SNE) (upper plots) and Principal Component Analysis (PCA) (lower plots) comparing Spaceflight samples to ground controls. Lines are drawn in the t-SNA plots to visually separate the flight samples from the ground controls. The axis for t-SNE plots are arbitrary. The variance for the PCA plots is indicated in the axis. The coordinates of each point in each plot represents the two most important gene pattern contributions (e.g. principal component for PCA) of individual biological replicates. Each replicate is obtained from individual mice exposed to the same experimental conditions. Two points in close proximity suggests a very similar gene expression pattern between the two corresponding samples.

Journal: Scientific Reports

Article Title: Multi-omics analysis of multiple missions to space reveal a theme of lipid dysregulation in mouse liver

doi: 10.1038/s41598-019-55869-2

Figure Lengend Snippet: The global transcriptomics differences on livers from mice flown in space compared to ground controls. Clustering of individual biological liver samples from mice for each transcriptomics dataset (STS-135, RR1, and RR3) from GeneLab utilizing t-Distributed Stochastic Neighbor Embedding (t-SNE) (upper plots) and Principal Component Analysis (PCA) (lower plots) comparing Spaceflight samples to ground controls. Lines are drawn in the t-SNA plots to visually separate the flight samples from the ground controls. The axis for t-SNE plots are arbitrary. The variance for the PCA plots is indicated in the axis. The coordinates of each point in each plot represents the two most important gene pattern contributions (e.g. principal component for PCA) of individual biological replicates. Each replicate is obtained from individual mice exposed to the same experimental conditions. Two points in close proximity suggests a very similar gene expression pattern between the two corresponding samples.

Article Snippet: Clustering of individual biological liver samples from mice for each transcriptomics dataset (STS-135, RR1, and RR3) from GeneLab utilizing t-Distributed Stochastic Neighbor Embedding (t-SNE) (upper plots) and Principal Component Analysis (PCA) (lower plots) comparing Spaceflight samples to ground controls.

Techniques: Gene Expression