Difference: EducationDNAMicroarrays (1 vs. 8)

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07 Mar 2013 - Main.PerryMoerland
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  We will use the TIGR MultiExperiment Viewer (TMEV) Java software package for the analysis of microarray data. You will look at the distribution of measured microarray fluorescence intensities and see the influence of normalization. Furthermore, you will apply some unsupervised learning techniques such as hierarchical clustering, self-organizing maps, and k-means clustering on simulated microarray data. You will also apply hierarchical clustering on a yeast cell-cycle microarray data set as published by Spellman et al.
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Revision 7
01 Mar 2012 - Main.PerryMoerland
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  We will use the TIGR MultiExperiment Viewer (TMEV) Java software package for the analysis of microarray data. You will look at the distribution of measured microarray fluorescence intensities and see the influence of normalization. Furthermore, you will apply some unsupervised learning techniques such as hierarchical clustering, self-organizing maps, and k-means clustering on simulated microarray data. You will also apply hierarchical clustering on a yeast cell-cycle microarray data set as published by Spellman et al.
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Revision 6
04 Mar 2011 - Main.PerryMoerland
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Exercises:DNA microarray analysis

We will use the TIGR MultiExperiment Viewer (TMEV) Java software package for the analysis of
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microarray data. You will look at the distribution of measured microarray fluorescence intensities and see the influence of normalization. Furthermore, you will apply some unsupervised learning techniques such as hierarchical clustering, self-organizing maps, k-means clustering, and principal component analysis on simulated microarray data. You will also apply hierarchical clustering on a yeast cell-cycle microarray data set as published by Spellman et al.
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microarray data. You will look at the distribution of measured microarray fluorescence intensities and see the influence of normalization. Furthermore, you will apply some unsupervised learning techniques such as hierarchical clustering, self-organizing maps, and k-means clustering on simulated microarray data. You will also apply hierarchical clustering on a yeast cell-cycle microarray data set as published by Spellman et al.
 
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Revision 5
06 Jul 2010 - Main.PerryMoerland
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04 Mar 2010 - Main.PerryMoerland
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