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<body bgcolor = "#FFFFCC"><basefont face = "Arial"> |
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<h1>FOM: Figure of Merit</h1> <h2>Parameter Information</h2> |
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<h2> Sample Selection </h2> |
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The sample selection option indicates whether to cluster genes or experiments. |
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<h2>FOM Iteration Selection</h2> |
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The FOM module can be run several times to get average FOM values. This feature |
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is useful for KMC FOM runs since each KMC run gives possibly unique results |
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due to the random nature of KMC intialization. If this parameter is greater |
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than one the FOM graph will reflect the mean FOM values with SD bars. |
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<h2>Algorithm Selection Tabs</h2> |
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The Figure of Merit is, in concept, a measure of fit of |
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the expression patterns for the clusters produced by a particular |
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algorithm. MeV's FOM implementation provides FOM results for |
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running the KMC and CAST clustering algorithms. Each algorithm |
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is initialized by selecting either the K-Means/K-Medians tab |
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or the CAST tab. |
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<h2>KMC Parameters</h2> |
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<h3>Means/Medians Option</h3> |
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The Means or Medians option indicates whether each cluster's centroid vector |
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should be calculated as a mean or as a median of the member expression patterns. |
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<h3> Maximum Number of Clusters </h3> |
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This positive integer value indicates the maximum number of clusters to be created. |
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For instance, if the entered value is 10 then KMC is run 10 times to produce 1,2,3..,10 |
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clusters. An FOM value is returned for each run. |
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<h3> Maximum Number of Iterations </h3> |
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This positive integer value is the maximum number of times that all the elements in the data set |
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will be tested for cluster fit within a single KMC run. On each iteration each element |
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is associated with the cluster with the closest mean (or median). |
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<br><br> |
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Note that a KMC run will terminate when either no elements |
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require migration (reassignment) to new clusters or when the maximum number of |
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iterations has been reached. |
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<br> |
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<h2>CAST Parameters </h2> |
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<h3>Threshold Interval</h3> |
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*For FOM an interval is used to perform a series of CAST runs in which the Affinity Threshold |
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is incremented from 0.0 by the interval indicated. The default of 0.1 is often a good value |
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since it provides 11 CAST results from 0.0 to 1.0 incremented by 0.1. |
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<br><br> |
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The threshold parameter is a value ranging from 0.0 to 1.0 which is used as a |
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cluster affinity threshold. Each expression element will have an affinity for the current cluster being |
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created based on it's relationship to the elements currently in the cluster. If that affinity |
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is greater than the supplied threshold the gene is permitted to be a member of the cluster. |
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<br> |
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</basefont> |
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</body> |
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</html> |