GigaScienceBioinformaticsPeer-reviewed journal article
ascend: R package for analysis of single cell RNA-seq data
Anne SenabouthiD, Samuel W. LukowskiiD, José Alquicira-HernándeziD, Stacey B. AnderseniD, Xin Mei, Quan Hoang NguyeniD, Joseph E. PowelliD
Abstract
Summaryascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. ascend is designed to work with scRNA-seq data generated by any high-throughput platform, and includes functions to convert data objects between software packages.\n\nAvailabilityThe R package and associated vignettes are freely available at https://github.com/IMB-Computational-Genomics-Lab/ascend.\n\nContactjoseph.powell@uq.edu.au\n\nSupplementary informationAn example dataset is available at ArrayExpress, accession number E-MTAB-6108
- assay: scRNA-seq
- research focus: dimensionality reduction
- research focus: clustering
- research focus: differential expression
- research focus: software / tool
- approach: statistical model
- Citations
- 49
- FWCI
- 2.32
- Field percentile
- top 10%
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