multidimensional scaling (mds) plots using r studio Search Results


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Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b <t>Multidimensional</t> <t>Scaling</t> <t>plot</t> of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana
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Qlucore Inc isomap multidimensional scaling (mds)
(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) <t>Isomap</t> supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).
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SPSS Inc proxscal
(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) <t>Isomap</t> supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).
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RStudio r studio v4.0.5
(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) <t>Isomap</t> supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).
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Concept Systems Inc multidimensional scaling analysis (mds) cs global max
(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) <t>Isomap</t> supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).
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SAS institute procedure mds in sas 9.3
(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) <t>Isomap</t> supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).
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Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b Multidimensional Scaling plot of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana

Journal: BMC Veterinary Research

Article Title: In vitro antiviral activity of fifteen plant extracts against avian infectious bronchitis virus

doi: 10.1186/s12917-019-1925-6

Figure Lengend Snippet: Visual representation of the experimental data. a Cluster dendrogram of all plant extracts. b Multidimensional Scaling plot of anti-IBV active plant extracts. Plant extracts: 1 – D. canadense , 2 – M. piperita , 3 – T. vulgaris , 4 – M. officinalis , 5 – O. vulgare , 6 – S. officinalis , 7 – H. officinalis , 8 – S. montana

Article Snippet: Hierarchical clusterisation and multidimensional scaling (MDS) were performed using the software R-Studio.

Techniques:

(A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) Isomap supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).

Journal: JCI Insight

Article Title: Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency

doi: 10.1172/jci.insight.93247

Figure Lengend Snippet: (A) Heatmap for the probe sets identified by correlation with peak GH (347 probe sets, 271 unique genes). Five distinct clusters of gene expression are identified via the dendrogram — two positively correlated (red) with peak GH and three negatively correlated (green). Pink, yellow, and blue squares indicate the principal component analysis group for each patient (see Figure 1B). (B) Isomap supervised principal component analysis using only those probe sets whose expression correlated to peak GH identified 3 distinct groups of GHD subjects (n = 98; pink n = 49, yellow n = 37, and blue n = 12).

Article Snippet: Dimensional scaling using PCA and isomap multidimensional scaling (MDS) ( 43 , 44 ) was used to demonstrate data homogeneity (Qlucore Omics Explorer 2.2) and identify outliers using cross validation.

Techniques: Gene Expression, Expressing