Computational and Structural Biotechnology JournalBioinformaticsPeer-reviewed journal article
dandelionR: Single-cell immune repertoire trajectory analysis in R
Jiawei YuiD, Xiaohan XuiD, Nicholas C. BorcherdingiD, Zewen Kelvin TuongiD
Abstract
Integration of single-cell RNA-sequencing (scRNA-seq) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) is extremely powerful in studying lymphocyte development. A python-based package, Dandelion, introduced VDJ-feature space method, which addresses the challenge in integration of single-cell AIR data with gene expression data and enhanced the trajectory analysis results. However, no R-based equivalent or similar methods currently exist. To fill this gap, we present dandelionR, an R implementation of Dandelions trajectory analysis workflow, bringing the VDJ feature space construction and trajectory analysis using diffusion map and absorbing Markov chain to R, offering a new option for scRNA-seq and scVDJ-seq analysis to R language users.
- assay: scRNA-seq
- assay: scATAC-seq
- research focus: trajectory inference
- research focus: dimensionality reduction
- research focus: software / tool
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 2
- FWCI
- 0.60
- Field percentile
- top 39%
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