Controlling false discoveries in high-dimensional situations: boosting with stability selection

Controlling false discoveries in genome scans for selection.

Population differentiation (PD) and ecological association (EA) tests have recently emerged as prominent statistical methods to investigate signatures of local adaptation using population genomic data. Based on statistical models, these genomewide testing procedures have attracted considerable attention as tools to identify loci potentially targeted by natural selection. An important issue with...

Controlling False Discoveries in Mapping Multiple Phenotypes

The genetic basis of multiple phenotypes such as gene expression, metabolite levels, or imaging features is often investigated by testing a large collection of hypotheses, probing the existence of association between each of the traits and hundred of thousands of genotyped variants. Appropriate multiplicity adjustment is crucial to guarantee replicability of findings, and False Discovery Rate (...

Controlling the number of false discoveries: Application to high-dimensional genomic data

Controlling the Rate of GWAS False Discoveries

With the rise of both the number and the complexity of traits of interest, control of the false discovery rate (FDR) in genetic association studies has become an increasingly appealing and accepted target for multiple comparison adjustment. While a number of robust FDR-controlling strategies exist, the nature of this error rate is intimately tied to the precise way in which discoveries are coun...

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates

MOTIVATION Technological advances that allow routine identification of high-dimensional risk factors have led to high demand for statistical techniques that enable full utilization of these rich sources of information for genetics studies. Variable selection for censored outcome data as well as control of false discoveries (i.e. inclusion of irrelevant variables) in the presence of high-dimensi...