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Papers: 10.1093/jmcb/mjaa052

https://doi.org/10.1093/jmcb/mjaa052

Imputing single-cell RNA-seq data by considering cell heterogeneity and prior expression of dropouts

Cited by: 18
Author(s): Lihua Zhang, Shihua Zhang
Published: almost 5 years ago

Software Mentions 9

bioconductor: SC3
Single-Cell Consensus Clustering
Papers that mentioned: 71
Very Likely Science (100)
bioconductor: SIMLR
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Papers that mentioned: 40
Very Likely Science (65)
bioconductor: splatter
Simple Simulation of Single-cell RNA Sequencing Data
Papers that mentioned: 6
Very Likely Science (100)
cran: DCA
Dynamic Correlation Analysis for High Dimensional Data
Papers that mentioned: 128
Very Likely Science (93)
cran: SAVER
Single-Cell RNA-Seq Gene Expression Recovery
Papers that mentioned: 40
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: DCA
Count autoencoder for scRNA-seq denoising
Papers that mentioned: 128
Very Likely Science (100)
pypi: SIMLR
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
Papers that mentioned: 40
Very Likely Science (75)
pypi: splatter
Vizualizing multidimensional points in a pleasing and informative way
Papers that mentioned: 6
Very Likely Science (65)