Camera: a competitive gene set test accounting for inter-gene correlation. Competitive gene set tests are commonly used in molecular pathway analysis to test for enrichment of a particular gene annotation category amongst the differential expression results from a microarray experiment. Existing gene set tests that rely on gene permutation are shown here to be extremely sensitive to inter-gene correlation. Several data sets are analyzed to show that inter-gene correlation is non-ignorable even for experiments on homogeneous cell populations using genetically identical model organisms. A new gene set test procedure (CAMERA) is proposed based on the idea of estimating the inter-gene correlation from the data, and using it to adjust the gene set test statistic. An efficient procedure is developed for estimating the inter-gene correlation and characterizing its precision. CAMERA is shown to control the type I error rate correctly regardless of inter-gene correlations, yet retains excellent power for detecting genuine differential expression. Analysis of breast cancer data shows that CAMERA recovers known relationships between tumor subtypes in very convincing terms. CAMERA can be used to analyze specified sets or as a pathway analysis tool using a database of molecular signatures.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Sun, Jiehuan; Herazo-Maya, Jose D.; Huang, Xiu; Kaminski, Naftali; Zhao, Hongyu: Distance-correlation based gene set analysis in longitudinal studies (2018)
- Kim, Soeun; Ahn, Jae Youn; Lee, Woojoo: On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector (2016)
- Charmpi, Konstantina; Ycart, Bernard: Weighted Kolmogorov Smirnov testing: an alternative for Gene Set Enrichment Analysis (2015)
- Gabbur, Prasad; Hoying, James; Barnard, Kobus: Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags (2015)