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Papers: 10.1186/s13059-020-02096-y

https://doi.org/10.1186/s13059-020-02096-y

Demystifying “drop-outs” in single-cell UMI data

Cited by: 66
Author(s): Tae Hyun Kim, Xiang Zhou, Mengjie Chen
Published: almost 5 years ago

Software Mentions 9

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: HIPPO
Heterogeneity-Induced Pre-Processing tOol
Papers that mentioned: 8
Very Likely Science (100)
cran: DCA
Dynamic Correlation Analysis for High Dimensional Data
Papers that mentioned: 128
Very Likely Science (93)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: pscl
Political Science Computational Laboratory
Papers that mentioned: 185
Very Likely Science (100)
cran: SAVER
Single-Cell RNA-Seq Gene Expression Recovery
Papers that mentioned: 40
Very Likely Science (100)
cran: sctransform
Variance Stabilizing Transformations for Single Cell UMI Data
Papers that mentioned: 34
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)