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Haiying Enterprise Group Co Ltd principal component analysis (pca) method
Principal Component Analysis (Pca) Method, supplied by Haiying Enterprise Group Co 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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PCA and <t>HCA</t> of the antibacterial activity of the studied combinations { T. glabrescens oil-chloramphenicol (*); geraniol-chloramphenicol (**); thymol-chloramphenicol (***)} based on <t>their</t> <t>FIC</t> values: (a) eigenvalues of the correlation matrix, (b) the loading plot of the responsible FIC values, (c) the score plot of the examined bacteria, and (d) the corresponding dendrogram. The examined FIC values are presented in Figures – .
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PCA and HCA of the antibacterial activity of the studied combinations { T. glabrescens oil-chloramphenicol (*); geraniol-chloramphenicol (**); thymol-chloramphenicol (***)} based on their FIC values: (a) eigenvalues of the correlation matrix, (b) the loading plot of the responsible FIC values, (c) the score plot of the examined bacteria, and (d) the corresponding dendrogram. The examined FIC values are presented in Figures – .

Journal: The Scientific World Journal

Article Title: An In Vitro Synergistic Interaction of Combinations of Thymus glabrescens Essential Oil and Its Main Constituents with Chloramphenicol

doi: 10.1155/2014/826219

Figure Lengend Snippet: PCA and HCA of the antibacterial activity of the studied combinations { T. glabrescens oil-chloramphenicol (*); geraniol-chloramphenicol (**); thymol-chloramphenicol (***)} based on their FIC values: (a) eigenvalues of the correlation matrix, (b) the loading plot of the responsible FIC values, (c) the score plot of the examined bacteria, and (d) the corresponding dendrogram. The examined FIC values are presented in Figures – .

Article Snippet: The experimental data (FIC values) were analyzed by chemometric methods: principal components analysis (PCA) and hierarchical cluster analysis (HCA), using Mathworks MATLAB.

Techniques: Activity Assay, Bacteria