stemangiola/sccomp: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data
A robust and outlier-aware method for testing differential tissue composition from single-cell data. This model can infer changes in tissue composition and heterogeneity, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Clustering GeneExpression ImmunoOncology Normalization RNASeq Sequencing SingleCell Software Transcriptomics |
| Maintainer | |
| License | GPL-3 |
| Version | 1.7.12 |
| URL | https://github.com/stemangiola/sccomp |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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