 |
 |
 |
Tutorial
Tutorial: see Causeur et al. (2011).
FAMT-manual: R document describing all the functions of the package.
Articles
Causeur D., Friguet C., Houée-Bigot M. and Kloareg M. (2011). Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Significance Testing Under Dependence. Journal of Statistical Software, 40(14), 1-19.
Friguet C., Kloareg M. and Causeur D. (2009). A Factor Model Approach to Multiple Testing Under Dependence. Journal of the American Statistical Association, 104:488, p.1406-1415.
Blum Y., Le Mignon G., Lagarrigue S., and Causeur D. (2010). A Factor Model to Analyze Heterogeneity in Gene Expression. BMC Bioinformatics, 2010, 11:368.
Poster and presentation
Houée-Bigot M., Friguet C., Lagarrigue S., Blum Y., Causeur D. Large-scale significance testing of high-throughput data with FAMT. ASMDA conference, Rome Italy, 2011 June 7-10. (Abstract)
Blum Y., Friguet C., Lagarrigue S., Causeur D. Inférence sur réseaux géniques par Analyse en Facteurs, Conférence SFdS Marseille 25-28/05/2010. (Abstract in french)
Blum Y., Lagarrigue S., Causeur D. A factor model to analyze heterogeneity in gene expression, SMPGD workshop, Marseille, 14-15/01/2010. (Abstract)
A poster about the general approach: "Factor Analysis for Multiple Testing: A general approach for differential analysis of genome-scale dependent data", Friguet C., Kloareg M., Causeur D.
Thesis
Friguet C., 2010. Impact of dependence in large-scale multiple testing. Thesis, 113 p.