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  • siggenes
  • Referenced in 3 articles [sw11308]
  • testing using SAM and Efron’s empirical Bayes approaches. Bioconductor. Identification of differentially expressed genes ... Analysis of Microarrays (SAM) and the Empirical Bayes Analyses of Microarrays (EBAM...

  • shrink
  • Referenced in 4 articles [sw24100]
  • achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors...

  • ashr
  • Referenced in 2 articles [sw33933]
  • ashr: Methods for Adaptive Shrinkage, using Empirical Bayes. The R package ’ashr’ implements an Empirical...

  • saa
  • Referenced in 2 articles [sw20966]
  • genetic risk prediction using non-parametric empirical Bayes classification. Genetic risk prediction is an important ... tuning parameter-free non-parametric empirical Bayes procedure, and can be trained using only auxiliary...

  • WebArray
  • Referenced in 3 articles [sw37316]
  • correction, graphical plotting, normalization, linear modeling, empirical bayes statistical analysis, false discovery rate (FDR) estimation...

  • MIXREGLS
  • Referenced in 3 articles [sw24546]
  • random effects is accomplished using empirical Bayes methods. Examples illustrating stand-alone usage and features...

  • Pomelo II
  • Referenced in 3 articles [sw35617]
  • complex experimental designs and use empirical Bayes moderated statistics. Permutation-based and Cox model analysis...

  • ebnm
  • Referenced in 1 article [sw40151]
  • Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families ... empirical Bayes normal means (EBNM) model plays an important role in both theoretical and applied ... false discovery rate estimation; and empirical Bayes matrix factorization. As such, several software packages have...

  • smashr
  • Referenced in 2 articles [sw39435]
  • package implements fast, wavelet-based Empirical Bayes shrinkage methods for signal denoising. This includes smoothing...

  • multitest
  • Referenced in 2 articles [sw08130]
  • resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error...

  • CoRF
  • Referenced in 2 articles [sw42227]
  • moderated sampling probabilities are, inspired by empirical Bayes, learned from the data at hand...

  • ebmstate
  • Referenced in 1 article [sw40995]
  • package ebmstate: Empirical Bayes Multi-State Cox Model. Implements an empirical Bayes, multi-state...

  • deconvolveR
  • Referenced in 1 article [sw17931]
  • package deconvolveR. Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution ... prior (”g-modeling”) by deconvolution and Empirical Bayes methods...

  • flashr
  • Referenced in 1 article [sw39461]
  • flashr: Empirical Bayes Factor Analysis in R. Methods for matrix factorization based on Empirical Bayes...

  • DoubleExpSeq
  • Referenced in 1 article [sw17050]
  • Test for RNA-Seq Data via Empirical Bayes Shrinkage of the Dispersion Parameter. Differential exon ... data via an empirical Bayes shrinkage method for the dispersion parameter the utilizes inclusion-exclusion...

  • XPEB
  • Referenced in 1 article [sw33849]
  • package implements the cross-population empirical Bayes method, XPEB, described in Coram et al. AJHG ... Complex Traits in Minority Populations: An Empirical Bayes Approach. Am J Hum Genet...

  • repfdr
  • Referenced in 1 article [sw23976]
  • wide association studies (GWAS) research. The empirical Bayes approach for discovering whether results have been ... provides a flexible implementation of the empirical Bayes approach for replicability analysis and meta-analysis...

  • ecpc
  • Referenced in 1 article [sw42221]
  • Group hyperparameters are estimated with an empirical Bayes method of moments, penalised with an extra ... samples. The name ’ecpc’ stands for Empirical Bayes, Co-data learnt, Prediction and Covariate selection...

  • CorShrink
  • Referenced in 1 article [sw37289]
  • CorShrink: Empirical Bayes shrinkage estimation of correlations, with applications. Estimation of correlation matrices and correlations ... estimation accuracy. Here, we propose an Empirical Bayes shrinkage approach, CorShrink, which adaptively learns...

  • PROC QTL
  • Referenced in 1 article [sw17248]
  • Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods...