False Discovery Rate using a Mixture Model Store Options
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This dialog sets the structures to save the results from the False Discovery Rate using Mixture Model menu. Optionally, the results can also be displayed in a spreadsheet.

Save

The results to be saved:
Parameter Estimatesvariate The parameter estimates for P, A, B on convergence or after the final iteration.
False Discovery Ratesvariate For each probability input, the estimated False Discovery Rates from the mixture model, i.e. the probability that a non-responding gene will have a probability of this value or greater.
False Rejection Ratesvariate For each probability input, the estimated False Rejection Rates from the mixture model, i.e. the probability that a responding gene will have a probability smaller than this value.
Powervariate The power, i.e. the probability of obtaining a probability greater than or equal to the input probabilities.
Post Havariate The posterior probability of a gene being a responsive one.
Model Log-likelihoodscalar The log-likelihood of the fitted model.
Cycles to Fit the Modelscalar The number of iterations cycles taken for convergence. If the model has not converged, then this will be a missing value and so can be used to test for convergence in a program.

Display in Spreadsheet

If this is selected, the saved results will also be displayed within spreadsheet windows.

OK

Save the store settings for storing the results from the analysis.

Cancel

Close the dialog without making any changes.

See Also