A global test for groups of genes: testing association with a clinical outcome

By Jelle J. Goeman, Sara A. van de Geer, Floor de Kort, H. V. van Houwelingen. Bioinform., 2004

1,110 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9616f36d11b0e83159716b5dfdd14cfc060a8ebc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data (2010, methodology): “The globaltest al-gorithm was originally designed for testing associations between gene sets and clinical outcomes (11).”
Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis (2016, methodology): “Pathway enrichment analysis supports Globaltest (Goeman et al., 2004) and GlobalANCOVA (Hummel et al., 2008), which are two similar algorithms designed for testing differentially expressed genes or metabolites in functionally related groups.”
Multiple hypothesis testing in genomics (2014, methodology): “When aggregating to higher levels than the gene, or when the possibility of differential splicing leads us to expect highly heterogeneous differential expression of probes, then more sophisticated aggregated tests may be preferable [43, 44].”
MetPA: a web-based metabolomics tool for pathway analysis and visualization (2010, methodology): “As a result, a number of robust software tools have been developed to support pathway analysis for genomics and proteomics studies.”
A systems biology approach for pathway level analysis. (2007, background): “In fact, a link between focal adhesion and breast cancer has been previously established (Golubovskaya et al. 2002; van Nimwegen and van de Water 2006).”
Gene-set approach for expression pattern analysis (2008, background): “[17, 18], SAFE [19], Q2 test of Tian et al .”
Ten Years of Pathway Analysis: Current Approaches and Outstanding Challenges (2012, methodology): “GlobalTest Standalone (BioConductor) [15]”
Testing against a high dimensional alternative (2006, methodology): “These methods have a close relationship to the test that is described in this paper (Goeman et al., 2004).”
Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control (2011, methodology): “We refer to Goeman et al. (2004) for interpretations and decompositions of the test statistic for the case of the logistic model.”