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Papers: 10.1186/s13059-021-02407-x

https://doi.org/10.1186/s13059-021-02407-x

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Cited by: 30
Author(s): Anna Cuomo, Giordano Alvari, Christina B. Azodi, Davis J. McCarthy, Marc Jan Bonder
Published: about 4 years ago

Software Mentions 9

bioconductor: bayNorm
Single-cell RNA sequencing data normalization
Papers that mentioned: 3
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in R
Papers that mentioned: 79
Very Likely Science (100)
bioconductor: scran
Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113
Very Likely Science (100)
bioconductor: splatter
Simple Simulation of Single-cell RNA Sequencing Data
Papers that mentioned: 6
Very Likely Science (100)
cran: sctransform
Variance Stabilizing Transformations for Single Cell UMI Data
Papers that mentioned: 34
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
cran: WASP
Wavelet System Prediction
Papers that mentioned: 97
Very Likely Science (100)
pypi: splatter
Vizualizing multidimensional points in a pleasing and informative way
Papers that mentioned: 6
Very Likely Science (65)