SNVLFDR - Empirical Bayes Single Nucleotide Variant Calling
Identifies single nucleotide variants in next-generation sequencing data by estimating their local false discovery rates. For more details, see Karimnezhad, A. and Perkins, T. J. (2024) <doi:10.1038/s41598-024-51958-z>.
Last updated 10 months ago
3.00 score 213 downloadsLFDREmpiricalBayes - Estimating Local False Discovery Rates Using Empirical Bayes Methods
New empirical Bayes methods aiming at analyzing the association of single nucleotide polymorphisms (SNPs) to some particular disease are implemented in this package. The package uses local false discovery rate (LFDR) estimates of SNPs within a sample population defined as a "reference class" and discovers if SNPs are associated with the corresponding disease. Although SNPs are used throughout this document, other biological data such as protein data and other gene data can be used. Karimnezhad, Ali and Bickel, D. R. (2016) <http://hdl.handle.net/10393/34889>.
Last updated 7 years ago
bayesianmathematicalbiologymultiplecomparison
2.00 score 5 scripts 478 downloadsLFDR.MME - Estimating Local False Discovery Rates Using the Method of Moments
Estimation of the local false discovery rate using the method of moments.
Last updated 4 years ago
bayesianmathematicalbiologymultiplecomparison
1.00 score 125 downloads