Papers: 10.1186/s13059-019-1739-7
https://doi.org/10.1186/s13059-019-1739-7
CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data
Cited by: 33
Author(s): Rebekka Wegmann, Marilisa Neri, Sven Schuierer, Bilada Bilican, Huyen Hartkopf, Florian Nigsch, Felipa Mapa, Annick Waldt, Rachel Cuttat, Max R. Salick, Joe Raymond, Ajamete Kaykas, Guglielmo Roma, Caroline Gubser Keller
Published: about 6 years ago
Software Mentions 13
bioconductor: M3Drop
Michaelis-Menten Modelling of Dropouts in single-cell RNASeqPapers that mentioned: 21
Very Likely Science (100)
Very Likely Science (100)
bioconductor: monocle
Clustering, differential expression, and trajectory analysis for single- cell RNA-SeqPapers that mentioned: 60
Very Likely Science (100)
bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in RPapers that mentioned: 79
Very Likely Science (100)
Very Likely Science (100)
cran: dynamicTreeCut
Methods for Detection of Clusters in Hierarchical Clustering DendrogramsPapers that mentioned: 49
Very Likely Science (75)
cran: irlba
Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse MatricesPapers that mentioned: 16
Very Likely Science (100)
Very Likely Science (93)
cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density EstimationPapers that mentioned: 297
Very Likely Science (85)
Very Likely Science (100)
Very Likely Science (85)
Very Likely Science (75)
pypi: monocle
An async programming framework with a blocking look-alike syntaxPapers that mentioned: 60
Very Likely Science (100)