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blase

Bulk Linking Analysis for Single-cell Experiments

Bioconductor version: 3.23 · Package version: 1.2.0

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.

Installation

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

BiocManager::install("blase")

Details

MaintainerAndrew McCluskey <2117532m@student.gla.ac.uk>
AuthorAndrew McCluskey [aut, cre] (ORCID: <https://orcid.org/0009-0004-4187-799X>), Toby Kettlewell [aut] (ORCID: <https://orcid.org/0009-0001-1225-3318>), Adrian M. Smith [aut] (ORCID: <https://orcid.org/0000-0001-8833-2330>), Rhiannon Kundu [aut] (ORCID: <https://orcid.org/0000-0003-3970-5860>), David A. Gunn [aut] (ORCID: <https://orcid.org/0000-0001-9866-3221>), Thomas D. Otto [aut, ths] (ORCID: <https://orcid.org/0000-0002-1246-7404>)
LicenseGPL (>= 3)
URLhttps://andrewmccluskey-uog.github.io/blase/
Bug Reportshttps://andrewmccluskey-uog.github.io/blase/issues
Downloads rank129
Source branchRELEASE_3_23
biocViewsCellBasedAssays, CellBiology, GeneExpression, RNASeq, Sequencing, SingleCell, Software, TimeCourse, Transcription, Transcriptomics

Documentation

Download

Dependencies

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), lsa

Suggests: knitr, rmarkdown, testthat (>= 3.2.3), covr, tradeSeq, scran, slingshot, tools, ami, reshape2, plyr, fs, sparseMatrixStats, ggVennDiagram, uwot, BiocStyle, DelayedMatrixStats, limma