Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: bioconductor: CellBench

https://packages.ecosyste.ms/registries/bioconductor.org/packages/CellBench

Construct Benchmarks for Single Cell Analysis Methods
1 version
Latest release: about 1 year ago
2 dependent packages
7,296 downloads total

Papers Mentioning CellBench 7

10.1186/s13059-020-02136-7

pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
Cited by: 53
Author(s): Pierre-Luc Germain, Anthony Sonrel, Mark D. Robinson
Software Mentions: 21
Published: about 4 years ago

10.1186/s13059-020-02132-x

A systematic evaluation of single-cell RNA-sequencing imputation methods
Cited by: 156
Author(s): Wenpin Hou, Zhicheng Ji, Hongkai Ji, Stephanie Hicks
Software Mentions: 15
Published: about 4 years ago

10.1186/s13059-019-1766-4

scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
Cited by: 74
Author(s): Nelson Johansen, Gerald Quon
Software Mentions: 12
Published: about 5 years ago

10.1186/s13059-019-1795-z

A comparison of automatic cell identification methods for single-cell RNA sequencing data
Cited by: 361
Author(s): Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J. T. Reinders, Ahmed Mahfouz
Software Mentions: 12
Published: about 5 years ago

10.1093/bioinformatics/btz889

<i>CellBench</i>: <i>R/Bioconductor</i> software for comparing single-cell RNA-seq analysis methods
Cited by: 17
Author(s): Shian Su, Luyi Tian, Xueyi Dong, Peter Hickey, Saskia Freytag, Matthew E. Ritchie
Software Mentions: 11
Published: almost 5 years ago

10.1371/journal.pcbi.1007939

Iterative point set registration for aligning scRNA-seq data
Cited by: 3
Author(s): Amir Alavi, Ziv Bar‐Joseph
Software Mentions: 6
Published: about 4 years ago

10.7717/peerj.12087

SC-JNMF: single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization
Cited by: 6
Author(s): Mikio Shiga, Shigeto Seno, Makoto Onizuka, Hideo Matsuda
Software Mentions: 4
Published: about 3 years ago