Estimating the Occurrence of False Positives and False Negatives in Microarray Studies by Approximating and Partitioning the Empirical Distribution of P-values
By S. Pounds, Stephan W. Morris. Bioinform., 2003
471 citations recorded by the source corpus.
Subfields: Molecular Biology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e5ae252598bcf21cdfa520446d5cd0619036948a
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
- Bradley Efron
- Bo Henry Lindqvist
- Egil Ferkingstad
- Mette Langaas
- Gunnar W. Klau
- Xiangqin Cui
- Grier P. Page
- David B. Allison
In Statistics and Probability
- Bradley Efron
- Egil Ferkingstad
- Bo Henry Lindqvist
- Mette Langaas
- David B. Allison
- Andreas Rosenwald
- Gunnar W. Klau
- Xiangqin Cui
Citations in the corpus
- Estimating the proportion of true null hypotheses, with application to DNA microarray data (2005, methodology): “A possible way of estimating π0 is thus through the estimation of f . Parametric estimation in this setting is studied for example by Allison et al. (2002), and Pounds and Morris (2003) , who used finite mixtures of beta distributions.”
- Identifying functional modules in protein–protein interaction networks: an integrated exact approach (2008, methodology): “This score has been extended by Rajagopalan and Agarwal (2005) to incorporate an adjustment parameter in order to obtain smaller subgraphs in conjunction with a greedy search algorithm.”
- Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade (2017, unknown): “A Beta-Uniform Mixture (BUM) model was used to adjust for multiple comparisons(Pounds and Morris, 2003).”
- Large-scale inference (2010, methodology): “A nice summary and example is Singh’s (1979) paper, where the asymptotics of kernel estimates for f(z) are carefully elaborated.”
- Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. (2006, methodology): “Beta uniform mixture analysis (BUM) of the P values showed a nonuniform distribution and was used to estimate false discovery rates (FDRs).(15) We constructed multigene classifiers using combinations of the most informative genes and several different class prediction algorithms including support ve”
- Size, power and false discovery rates (2007, methodology): “A variety of other local fdr estimation methods have been suggested: using more specific parametric models such as normal mixtures, see [1, 28, 30 ] or [17]; isotonic regression [4]; local smoothing [2]; and hierarchical Bayes analyses [5, 23].”
- Microarray data analysis: from disarray to consolidation and consensus (2006, methodology): “Many related mixture-model methods (MMMs) were subsequently devise”