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
| Maintainer | Andrew McCluskey <2117532m@student.gla.ac.uk> |
| Author | Andrew 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>) |
| License | GPL (>= 3) |
| URL | https://andrewmccluskey-uog.github.io/blase/ |
| Bug Reports | https://andrewmccluskey-uog.github.io/blase/issues |
| Downloads rank | 129 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, CellBiology, GeneExpression, RNASeq, Sequencing, SingleCell, Software, TimeCourse, Transcription, Transcriptomics |
Documentation
- Assigning bulk RNA-seq to pseudotime
- BLASE for annotating scRNA-seq
- BLASE for excluding developmental genes from bulk RNA-seq
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