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<body bgcolor = "#FFFFCC"><basefont face = "Arial"> |
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<h1>ST: Support Trees</h1><h2>Parameter Information</h2> |
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<hr size = 10> |
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<br> |
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The Support Tree algorithm permits the resampling options to be set separately |
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for the gene tree and the experiment tree. |
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<br> |
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|
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<h2>Tree Construction Options</h2> |
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The Draw Gene Tree and Draw Experiment Tree options allow you to |
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select to construct a gene tree, an experiment tree, or both. |
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<br> |
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<h2>Resampling Options</h2> |
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You can elect to resample either genes or experiments or neither using either |
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a bootstraping or a jackknifing method. |
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<br> |
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<h3>Bootstraping</h3> |
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The matrix is reconstructed such that each expression vector has the original number |
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of values but the values are a random selection (with replacement) of the original values. |
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Values in the original expression vector may occur more than once since the selection uses |
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replacement. |
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<h3>Jackknifing</h3> |
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Jackknifing takes each expression vector and randomly selects to omit an element. |
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This method produces expression vectors that have one fewer element and this is often |
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done to minimize the effect of single outlier values. |
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<br> |
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<h2>Iterations</h2> |
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This indicates how many times the expression matrix should be reconstructed and clustered. |
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<br> |
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|
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<h2> Distance Metric Selection </h2> |
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This area allows the selection of the metric to be used to assess gene-to-gene |
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or sample-to-sample distances. The initial metric displayed (choosen) corresponds to the global |
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setting in the Multiple Array Viewer's 'Metrics' menu. Alterations to the |
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chosen metric in this dialog will only alter the metric used for the current |
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algorithm run. The global setting in the main 'Metrics' menu will remain unchanged. |
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<br><br> |
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Euclidean Distance and Pearson Correllation tend to be the most frequently used options. |
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An appendix in the MeV manual describes the distance metrics offered in MeV. |
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<br> |
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|
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<h2> Linkage Method </h2> |
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This parameter is used to indicate the convention |
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used for determining cluster-to-cluster distances |
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when constructing the hierarchical tree. |
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<br><br> |
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Single Linkage: The distances are measured between |
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each member of one cluster each member of the other |
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cluster. The minimum of these distances is considered |
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the cluster-to-cluster distance. |
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<br><br> |
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Average Linkage: The average distance of each member of |
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one cluster to each member of the other cluster is used |
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as a measure of cluster-to-cluster distance. |
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<br><br> |
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Complete Linkage: The distances are measured between |
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each member of one cluster each member of the other |
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cluster. The maximum of these distances is considered |
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the cluster-to-cluster distance. |
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<br> |
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<h2>Support Tree Legend</h2> |
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A legend to relate support tree output colors to % support |
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is displayed by selecting the support tree legend menu item |
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in the main help menu. |
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<br> |
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</basefont> |
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</body> |
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</html> |