An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13059-018-1438-9

https://doi.org/10.1186/s13059-018-1438-9

UMI-count modeling and differential expression analysis for single-cell RNA sequencing

Cited by: 80
Author(s): Wenan Chen, Yán Li, John Easton, David Finkelstein, Gang Wu, Xiang Chen
Published: about 7 years ago

Software Mentions 7

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)
bioconductor: ROTS
Reproducibility-Optimized Test Statistic
Papers that mentioned: 20
Very Likely Science (90)
bioconductor: scran
Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)