Bioconductor 3.22 Released

blase

This is the development version of blase; for the stable release version, see blase.

Bulk Linking Analysis for Single-cell Experiments


Bioconductor version: Development (3.23)

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 "4.6") 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

Reference Manual PDF

Details

biocViews CellBasedAssays, CellBiology, GeneExpression, RNASeq, Sequencing, SingleCell, Software, TimeCourse, Transcription, Transcriptomics
Version 1.1.0
In Bioconductor since BioC 3.22 (R-4.5) (< 6 months)
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
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/blase
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/blase
Package Short Url https://bioconductor.org/packages/blase/
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