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Papers: 10.1186/s12859-020-03641-z

https://doi.org/10.1186/s12859-020-03641-z

A rank-based marker selection method for high throughput scRNA-seq data

Cited by: 23
Author(s): Alexander Vargo, Anna C. Gilbert
Published: almost 5 years ago

Software Mentions 8

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)
pypi: rpy2
Python interface to the R language (embedded R)
Papers that mentioned: 40
Very Likely Science (100)
pypi: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: scGeneFit
Genetic marker selection with linear programming
Papers that mentioned: 1
Very Likely Science (91)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)