principal component analysis pca Search Results


principal component analysis (pca) in plink 1.9  (RStudio)
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RStudio principal component analysis (pca) in plink 1.9
Principal Component Analysis (Pca) In Plink 1.9, 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
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principal component analysis (pca) of selected aromatic compounds  (OriginLab corp)
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OriginLab corp principal component analysis (pca) of selected aromatic compounds
Principal Component Analysis (Pca) Of Selected Aromatic Compounds, 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
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unsupervised principal components analysis (pca)  (Gigawiz Ltd)
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Gigawiz Ltd unsupervised principal components analysis (pca)
Unsupervised Principal Components Analysis (Pca), supplied by Gigawiz Ltd, 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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principal components analysis (pca)  (SAS institute)
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SAS institute principal components analysis (pca)
Principal Components Analysis (Pca), 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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principal component analysis (pca) extraction and varimax rotation  (SAS institute)
90
SAS institute principal component analysis (pca) extraction and varimax rotation
Loadings for principal components using <t> varimax rotation </t> and percent of variance accounted for by components.
Principal Component Analysis (Pca) Extraction And Varimax Rotation, 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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principal component analysis (pca) knime node  (KNIME GmbH)
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KNIME GmbH principal component analysis (pca) knime node
<t>Molecular</t> <t>properties</t> analysis and virtual screening. The chemical space of the generated dataset is represented visually by <t>3D-PCA</t> (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .
Principal Component Analysis (Pca) Knime Node, supplied by KNIME GmbH, 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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principal component analysis (pca)  (GraphPad Software Inc)
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GraphPad Software Inc principal component analysis (pca)
<t>Molecular</t> <t>properties</t> analysis and virtual screening. The chemical space of the generated dataset is represented visually by <t>3D-PCA</t> (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .
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
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principal component analysis (pca) software  (statpoint inc)
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statpoint inc principal component analysis (pca) software
<t>Principal</t> <t>component</t> analysis <t>(PCA).</t> (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.
Principal Component Analysis (Pca) Software, supplied by statpoint 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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principal components analysis (pca) in arcgis 10.1  (Esri inc)
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Esri inc principal components analysis (pca) in arcgis 10.1
<t>Principal</t> <t>component</t> analysis <t>(PCA).</t> (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.
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principal component analysis (pca)  (Addinsoft inc)
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Addinsoft inc principal component analysis (pca)
<t>Principal</t> <t>component</t> analysis <t>(PCA).</t> (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.
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
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pca using biovinci software  (BioTuring Inc)
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BioTuring Inc pca using biovinci software
<t>Principal</t> <t>component</t> analysis <t>(PCA).</t> (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.
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
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chi-square and principal component analysis chi-pca  (CH Instruments)
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CH Instruments chi-square and principal component analysis chi-pca
<t>Principal</t> <t>component</t> analysis <t>(PCA).</t> (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.
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
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Image Search Results


Loadings for principal components using varimax rotation and percent of variance accounted for by components.

Journal: PLoS ONE

Article Title: Environmental enrichment effects after early stress on behavior and functional brain networks in adult rats

doi: 10.1371/journal.pone.0226377

Figure Lengend Snippet: Loadings for principal components using varimax rotation and percent of variance accounted for by components.

Article Snippet: In addition, in order to identify relationships (connectivity) between metabolic brain regions, a factor analysis was conducted using principal component analysis (PCA) extraction and varimax rotation available in SAS 9.14 PROC FACTOR SAS Institute Inc., USA).

Techniques:

Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .

Journal: Frontiers in Pharmacology

Article Title: Targeting Leishmania infantum Mannosyl-oligosaccharide glucosidase with natural products: potential pH-dependent inhibition explored through computer-aided drug design

doi: 10.3389/fphar.2024.1403203

Figure Lengend Snippet: Molecular properties analysis and virtual screening. The chemical space of the generated dataset is represented visually by 3D-PCA (A) . binding affinities of NPs against Mannosyl-Oligosaccharide Glucosidase protein (B) from the dataset; and heatmap generated with Tanimoto scoring matrix of similar structures among compounds (C) .

Article Snippet: To generate a visual representation of the chemical space of the dataset for the auto-scaled properties of pharmaceutical interest, the principal component analysis (PCA), which reduces data dimensions by geometrically projecting them onto lower dimensions called principal components (PCs), calculated by the “PCA” KNIME node.

Techniques: Generated, Binding Assay

Principal component analysis (PCA). (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.

Journal: Environmental Microbiology Reports

Article Title: Microbiological exploration of the Cueva del Viento lava tube system in Tenerife, Canary Islands

doi: 10.1111/1758-2229.13245

Figure Lengend Snippet: Principal component analysis (PCA). (A) loadings of variables (microbial genera); (B) Scores of the four biofilm samples.

Article Snippet: In addition, a Principal Component Analysis (PCA) was performed using Statgraphics Centurion XVIII software for the simultaneous ordination of different microbial communities at the genus taxonomic level (higher than 0.5% abundance) and the identification of the dominant microbial communities of each biofilm sample (Palma et al., ).

Techniques: