SGoF+ program web page

SGoF+ is a new multiple test adjustment, based on a sequential goodness of fit test (SGoF) applied on a list of p-values, which increases its statistical power when the number of tests increases. SGoF+ can be a valuable alternative for multiple testing with high-dimensional biological data. Combined with the q-value estimation, which is also performed by the software, SGoF+ provides the power to detect true effects jointly with the reasonable proportion of false discoveries one should assume. The SGoF+ software is implemented for Windows, Mac and Ubuntu and includes other correction methods as sequential Bonferroni, the Benjamini-Hochberg (BH) method and different q-value estimation algorithms (see Methodology section). A MATLAB version of the SGoF algorithm was developed by Garth Thompson from M.I.N.D. Lab, Georgia Institute of Technology and Emory University, and is available here.