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.
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Package details |
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| Author | Carmen Bravo González-Blas |
| Bioconductor views | GenomicRanges rtracklayer |
| Maintainer | Carmen Bravo González-Blas <carmen.bravogonzalezblas@kuleuven.vib.be> |
| License | GPL-3 |
| Version | 0.3.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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