aertslab/cisTopic: cisTopic: Probabilistic modelling of cis-regulatory topics from single cell epigenomics data

The sparse nature of single cell epigenomics data can be overruled using probabilistic modelling methods such as Latent Dirichlet Allocation (LDA). This package allows the probabilistic modelling of cis-regulatory topics (cisTopics) from single cell epigenomics data, and includes functionalities to identify cell states based on the contribution of cisTopics and explore the nature and regulatory proteins driving them.

Getting started

Package details

AuthorCarmen Bravo González-Blas
Bioconductor views GenomicRanges rtracklayer
MaintainerCarmen Bravo González-Blas <carmen.bravogonzalezblas@kuleuven.vib.be>
LicenseGPL-3
Version0.3.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("aertslab/cisTopic")
aertslab/cisTopic documentation built on June 17, 2020, 4:54 p.m.