SLIM (Sliding Linear Model) is a software to more reliably estimate π(0) under dependence. When tested on a number of simulation datasets with varying data dependence structures and on microarray data, SLIM was found to be robust in estimating π(0) against dependence. The accuracy of its π(0) estimation suggests that SLIM can be used as a stand-alone tool for prediction of significant tests.
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Bioinformatics. 2011 Jan 15;27(2):225-31. Epub 2010 Nov 18.
SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures.
Wang HQ, Tuominen LK, Tsai CJ.