SGoF+ program web page

Population Genetics and Cytogenetics Group (XB2)
Departamento de Bioquímica, Genética e Inmunología
Área de Genética. Universidad de Vigo


SGoF and SGoF+: Sequential Goodness of Fit for multiple testing

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.







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