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Supplementary Resources Available at UNMCMD
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A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis <t>(PLS-DA)</t> score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.
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A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis <t>(PLS-DA)</t> score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.
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Image Search Results


Supplementary Resources Available at UNMCMD

Journal: Combinatorial chemistry & high throughput screening

Article Title: The University of New Mexico Center for Molecular Discovery

doi:

Figure Lengend Snippet: Supplementary Resources Available at UNMCMD

Article Snippet: Spotfire Lead Discovery - data visualization; Umetrics SIMCA - linear multivariate analysis WeKa non-linear modeling MatLab - general mathematical modeling.

Techniques: Flow Cytometry, Fluorescence, Microscopy, Software, Drug discovery, Transformation Assay

A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.

Journal: PLoS ONE

Article Title: Correlation between EGFR Amplification and the Expression of MicroRNA-200c in Primary Glioblastoma Multiforme

doi: 10.1371/journal.pone.0102927

Figure Lengend Snippet: A. Unsupervised hierarchical clustering of GBMs (horizontal dimension) and 102 miRNAs (vertical dimension) derived from a variance analysis. Over-expressed genes are represented in red and under-expressed ones in blue. B. The projection to latent structures discriminant analysis (PLS-DA) score scatter plot of the first 2 components. This PLSDA analysis discriminates the differences between GBM with high-level of EGFR amplification (n = 13) versus GBM non-amplified EGFR (n = 10). The symbols correspond as follows: red triangle, GMB with high level of amplified EGFR samples; blue square, non-amplified EGFR samples; green circle, samples with a low level of EFGR amplification.

Article Snippet: Discriminant analysis was performed using the PLS Toolbox 6.7.1 statistical multivariate analysis library (Eigenvector Research, Inc. USA) in the Matlab R2008a environment (MathWorks, Inc., USA).

Techniques: Derivative Assay, Amplification