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Papers: 10.1093/bib/bbz096

https://doi.org/10.1093/bib/bbz096

Evaluation of single-cell classifiers for single-cell RNA sequencing data sets

Cited by: 54
Author(s): Xinlei Zhao, Shuang Wu, Nan Fang, Xiao Sun, Jue Fan
Published: almost 6 years ago

Software Mentions 8

bioconductor: scmap
A tool for unsupervised projection of single cell RNA-seq data
Papers that mentioned: 34
Very Likely Science (100)
bioconductor: SingleR
Reference-Based Single-Cell RNA-Seq Annotation
Papers that mentioned: 97
Very Likely Science (100)
cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: AltAnalyze
User Friendly Application for Comprehensive Transcriptome Analysis
Papers that mentioned: 102
Very Likely Science (90)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: scmap
Assigns rgb colors to points on sphere.
Papers that mentioned: 34
Very Likely Science (65)