Papers: 10.1093/bioinformatics/btx631
https://doi.org/10.1093/bioinformatics/btx631
Towards unified quality verification of synthetic count data with <i>countsimQC</i>
Cited by: 39
Author(s): Charlotte Soneson, Mark D. Robinson
Published: almost 9 years ago
Software Mentions 5
bioconductor: compcodeR
RNAseq data simulation, differential expression analysis and performance comparison of differential expression methodsPapers that mentioned: 11
Very Likely Science (100)
bioconductor: countsimQC
Compare Characteristic Features of Count Data SetsPapers that mentioned: 6
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: splatter
Simple Simulation of Single-cell RNA Sequencing DataPapers that mentioned: 6
Very Likely Science (100)
pypi: splatter
Vizualizing multidimensional points in a pleasing and informative wayPapers that mentioned: 6
Very Likely Science (65)