Papers: 10.1186/s13059-020-02136-7
https://doi.org/10.1186/s13059-020-02136-7
pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
Cited by: 53
Author(s): Pierre-Luc Germain, Anthony Sonrel, Mark D. Robinson
Published: almost 5 years ago
Software Mentions 21
bioconductor: CellBench
Construct Benchmarks for Single Cell Analysis MethodsPapers that mentioned: 7
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: muscat
Multi-sample multi-group scRNA-seq data analysis toolsPapers that mentioned: 4
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bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in RPapers that mentioned: 79
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bioconductor: scds
In-Silico Annotation of Doublets for Single Cell RNA Sequencing DataPapers that mentioned: 7
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cran: sctransform
Variance Stabilizing Transformations for Single Cell UMI DataPapers that mentioned: 34
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pypi: glmpca
Generalized PCA for dimension reduction of non-normally distributed dataPapers that mentioned: 3
Very Likely Science (90)
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