BLASE: bulk linkage analysis for single cell experiments - teasing out the secrets of bulk transcriptomics with trajectory analysis
Abstract
1 Abstract Motivation scRNA-seq experiments can capture cell process trajectories. Bulk RNA-seq is more practical, however does not have the granularity to elucidate cell-type specific trajectories. Deconvolution methods can estimate cell-types in RNA-seq data, but there is a need for methods characterising their pseudotime. Results We show that our method, BLASE, can identify the progress of an RNA-seq sample through a trajectory in a scRNA-seq reference. Conclusion BLASE can be used to a) annotate scRNA-seq data from existing RNA-seq, b) identify progress of RNA-seq data through a process based on scRNA-seq data, and c) be used to correct developmental differences in RNA-seq differential expression analysis.
Fields of Study & Subjects
Single-cell and spatial transcriptomics
Publication details
- Journal / source
- BMC Methods
- Publisher
- Springer Science and Business Media LLC
- Volume
- 3
- Issue
- 1
- Publication date
- 8 July 2026
- Language
- EN