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Papers: 10.1186/s13059-017-1188-0

https://doi.org/10.1186/s13059-017-1188-0

CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data

Cited by: 391
Author(s): Peijie Lin, Michael Troup, Joshua W. K. Ho
Published: over 8 years ago

Software Mentions 8

bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
Very Likely Science (100)
bioconductor: SC3
Single-Cell Consensus Clustering
Papers that mentioned: 71
Very Likely Science (100)
bioconductor: scde
Single Cell Differential Expression
Papers that mentioned: 13
Very Likely Science (100)
bioconductor: scran
Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113
Very Likely Science (100)
cran: RaceID
Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Papers that mentioned: 25
Very Likely Science (75)
pypi: cyclone
Non-blocking web server for Python. Tornado API as a Twisted protocol.
Papers that mentioned: 3
Likely Science (40)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)
pypi: scLVM
scLVM
Papers that mentioned: 19
Very Likely Science (100)