False Discovery Rate using a Mixture Model Store Options

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.

After selecting the appropriate boxes, type names for the data structures into the corresponding In fields.

Save

The results to be saved:

Parameter estimates	Variate	The parameter estimates for P, A, B on convergence or after the final iteration.
False discovery rates	Variate	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 rates	Variate	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.
Power	Variate	The power, i.e. the probability of obtaining a probability greater than or equal to the input probabilities.
Post Ha	Variate	The posterior probability of a gene being a responsive one.
Model log-likelihood	Scalar	The log-likelihood of the fitted model.
Cycles to fit the model	Scalar	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.

Action Icons

	Clear	Clear all fields and list boxes.
	Help	Open the Help topic for this dialog.

False Discovery Rate using a Mixture Model Store Options

Save

Display in spreadsheet

Action Icons

See also

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