<p>PCA analysis on control and stress cells for various cell lines; Mel 42a, Mel 59c, Mel 103b and 293T. a) PC1 vs. PC2, b) PC2 vs. PC3 and c) PC1 vs. PC3.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>(A) Texture measurements from microcarrier seeded with 10 cells per bead and incubated for 2.5 ho...
<p>The PCA of genes differentially expressed between active and regressed phase. Upper panel shows P...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The expression of genes by mammary cell lines (MCF7, MDA-MB-231) cultured in control conditions (...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Principal component analysis (PCA) using gene expression measurements from 592 genes selected bas...
<p><b>A</b> Pareto plot of the percentage of variance explained by each principal component when PCA...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>(A) Texture measurements from microcarrier seeded with 10 cells per bead and incubated for 2.5 ho...
<p>The PCA of genes differentially expressed between active and regressed phase. Upper panel shows P...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The expression of genes by mammary cell lines (MCF7, MDA-MB-231) cultured in control conditions (...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Principal component analysis (PCA) using gene expression measurements from 592 genes selected bas...
<p><b>A</b> Pareto plot of the percentage of variance explained by each principal component when PCA...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>(A) Texture measurements from microcarrier seeded with 10 cells per bead and incubated for 2.5 ho...