Bioconductor release scheduled for October 29

blase

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

Bulk Linking Analysis for Single-cell Experiments


Bioconductor version: Development (3.22)

BLASE is a method for finding where bulk RNA-seq data lies on a single-cell pseudotime trajectory. It uses a fast and understandable approach based on Spearman correlation, with bootstrapping to provide confidence. BLASE can be used to "date" bulk RNA-seq data, annotate cell types in scRNA-seq, and help correct for developmental phenotype differences in bulk RNA-seq experiments.

Author: Andrew McCluskey [aut, cre] ORCID iD ORCID: 0009-0004-4187-799X , Toby Kettlewell [aut] ORCID iD ORCID: 0009-0001-1225-3318 , Adrian M. Smith [aut] ORCID iD ORCID: 0000-0001-8833-2330 , Rhiannon Kundu [aut] ORCID iD ORCID: 0000-0003-3970-5860 , David A. Gunn [aut] ORCID iD ORCID: 0000-0001-9866-3221 , Thomas D. Otto [aut, ths] ORCID iD ORCID: 0000-0002-1246-7404

Maintainer: Andrew McCluskey <2117532m at student.gla.ac.uk>

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

Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("blase")

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("blase")
Assigning bulk RNA-seq to pseudotime HTML R Script
BLASE for annotating scRNA-seq HTML R Script
BLASE for excluding developmental genes from bulk RNA-seq HTML R Script
Reference Manual PDF

Details

biocViews CellBasedAssays, CellBiology, GeneExpression, RNASeq, Sequencing, SingleCell, Software, TimeCourse, Transcription, Transcriptomics
Version 0.99.3
In Bioconductor since BioC 3.22 (R-4.5)
License GPL (>= 3)
Depends R (>= 4.5.0)
Imports SummarizedExperiment, SingleCellExperiment, ggplot2, viridis, patchwork, Matrix, scater, methods, rlang, BiocParallel, boot, dplyr, mgcv, stats, MatrixGenerics, Seurat (>= 4.0.0)
System Requirements
URL https://andrewmccluskey-uog.github.io/blase/
Bug Reports https://andrewmccluskey-uog.github.io/blase/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.2.3), covr, tradeSeq, scran, slingshot, tools, ami, reshape2, plyr, fs, sparseMatrixStats, ggVennDiagram, uwot, BiocStyle, DelayedMatrixStats, limma
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package blase_0.99.3.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64) blase_0.99.3.tgz
macOS Binary (arm64) blase_0.99.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/blase
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/blase
Bioc Package Browser https://code.bioconductor.org/browse/blase/
Package Short Url https://bioconductor.org/packages/blase/
Package Downloads Report Download Stats