This document is a vignette for the R package SeuratPipe for streamlining scRNA-seq analysis.

This document is a vignette for the R package scMET for modelling cell-to-cell DNA methylation heterogeneity from scBS-seq data. scMET enables to perform feature selection and differential analysis by testing for changes in mean and variability across pre-specified groups of cells.

Tutorial-like document on using variational inference on a Gaussian mixture model, and show how a Bayesian treatment resolves overfitting issues present in the maximum likelihood approach.

This document is a vignette for the Melissa package on analysing scBS-seq data and performing Bayesian clustering and imputation of single cell methylomes.

This document is a vignette for the Melissa package on how to process raw scBS-seq data, which then can be used for the Bayesian clustering and imputation of single cell methylomes.

This document is the vignette for the Bioconductor package BPRMeth

Tutorial-like document on using variational approximations to perform Bayesian inference for mixture of Bernoulli Binomial probit regression models.

Tutorial-like document on using variational approximations to perform Bayesian inference for mixture of linear regression models.

Tutorial-like document on using variational approximations to perform Bayesian inference for Bernoulli/Binomial probit regression models.

Tutorial-like document on using variational approximations to perform Bayesian inference for linear regression models.

Tutorial-like document on Beta-Binomial distribution for modelling overdispersed data, mainly arising when measuring data that have more than one source of variation.

Tutorial-like document on how to perform Bayesian Binomial probit regression using the data augmentation approach and also using the MH algorithm to compute the posterior distribution.

Tutorial-like document on how to perform Bayesian binary probit regression using the data augmentation approach.