Chloé Friguet
Statistics and Probability · 2009
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it; #6,644 of 12,932 by trust here, #10,855 by citations
- Management Science and Operations Research — 5 citations into it
- Molecular Biology — 5 citations into it; #6,760 of 17,773 by trust here, #16,854 by citations
Whom Chloé Friguet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John D. Storey
- Yoav Benjamini
- Bradley Efron
- Gordon K. Smyth
- Alexander Gordon
- Y. Hochberg
- Robert Tibshirani
- D. Yekutieli
- Ingrid Lönnstedt
- Galina V. Glazko
Who trusts Chloé Friguet overall
Papers from Chloé Friguet's perspective
Ordered by how strongly the researchers Chloé Friguet trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- A direct approach to false discovery rates
- Replicated microarray data
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- Gene-expression profiles in hereditary breast cancer. (New England Journal of Medicine)
- On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles (Statistics in Medicine)
- STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
- Correlation and Large-Scale Simultaneous Significance Testing
Their papers
- A Factor Model Approach to Multiple Testing Under Dependence (2009) — 171 citations