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<body bgcolor = "#FFFFCC"><basefont face = "Arial"> |
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<h1>SAM: Significance Analysis of Microarrays</h1> <h2>Parameter Information</h2> |
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<hr size = 10> |
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<h2> SAM Models </h2> |
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Several experimental design models can be processed by SAM to provide results |
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based on the selected design. Each design is represented as a tab |
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in the SAM initialization dialog. Comprehensive coverage of the use of SAM |
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and analysis of various experimental designs are covered in the TMeV manual |
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and the reference list found in the 'references' selection of the 'help' menu of the |
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main TMeV tool bar. |
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<h3>Two-class unpaired</h3> |
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This model provides selection buttons to indicate which experiments should be |
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in group A, group B, or Neither group. Options exist (buttons below group selection |
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controls) to save a grouping scheme, load a grouping scheme, or reset the grouping. |
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<h3>Two-class paired</h3> |
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This model provides selection buttons to indicate which experiments should be |
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paired. Experiments which are paired are considered to be related observations, |
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for instance, samples from a particular subject before and after drug treatment. |
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Each experiment can be paired with only one other experiment. Once a pairing has been |
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made the pair is put into the pairings list and selection of the two experiments |
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is disabled. Pairings may be removed from the pairing list and reassigned. |
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Options exist (buttons below group selection |
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controls) to save a pairing scheme, load a pairing scheme, or reset the pairings. |
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<h3>Multi-class</h3> |
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This model requires one to initially specify an number of classes (>2). |
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Once that is done selection buttons allow the assignment of experiments |
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to the appropriate classes. Groupings can be saved, loaded, and reset using the |
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buttons below the group selection controls. |
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<h3>Censored survival</h3> |
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The selection controls for this model allow the inclusion or exclusion of particular experiments using |
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the check boxes to the left of the experiment names. For those experiments included |
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a corresponding time and a state is selected (Censored, or Dead). |
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<br> |
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<h2>Number of Permutations</h2> |
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This integer number indicates the number of times each vector should be permuted |
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and have a d-statistic computed. |
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<br> |
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<h2>Imputation Engine</h2> |
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SAM handles missing data by constructing or imputing |
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missing values using one of two available methods. |
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<h3>K-nearest neighbor imputer</h3> |
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This option imputes a value based on the k nearest neighbors (using Euclidean distance) |
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to the vector which is missing the value. The k nearest neighbors are selected |
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such that each should have a value for the missing vector element. |
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<h3>Row average imputer</h3> |
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This option imputes by taking the mean of the other elements in the vector which |
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is missing the value. |
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<br> |
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<h2>Hierarchical Clustering</h2> |
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This check box selects whether to perform hierarchical clustering on the elements in each cluster |
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created. |
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</basefont> |
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</body> |
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</html> |
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