Bioconductor 3.22 Released

DenoIST

This is the development version of DenoIST; to use it, please install the devel version of Bioconductor.

DenoIST: Denoising Image-based Spatial Transcriptomics data


Bioconductor version: Development (3.23)

DenoIST identifies and removes contamination in Image-based Spatial Transcriptomics data, using a transposed poisson mixture model with local neighbourhood offsets to infer genes that are likely to be due to neighbourhood contamination rather than endogenous expression.

Author: Aaron Kwok [aut, cre] ORCID iD ORCID: 0000-0001-7831-4198 , Heejung Shim [aut], Davis McCarthy [aut]

Maintainer: Aaron Kwok <akwok at svi.edu.au>

Citation (from within R, enter citation("DenoIST")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DenoIST")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DenoIST")
denoist_spe HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews GeneExpression, Preprocessing, SingleCell, Software, Spatial, Transcriptomics
Version 0.99.2
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 3.5.0)
Imports flexmix, hexbin, pbapply, sparseMatrixStats, SpatialExperiment, stats, SummarizedExperiment, parallel
System Requirements
URL https://github.com/aaronkwc/DenoIST
Bug Reports https://github.com/aaronkwc/DenoIST/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat, ggplot2, patchwork
Linking To
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DenoIST_0.99.2.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/DenoIST
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DenoIST
Bioc Package Browser https://code.bioconductor.org/browse/DenoIST/
Package Short Url https://bioconductor.org/packages/DenoIST/
Package Downloads Report Download Stats