An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pcbi.1009118

https://doi.org/10.1371/journal.pcbi.1009118

SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data

Cited by: 6
Author(s): Jing Qi, Yang Zhou, Zhao Zhang, Shuilin Jin
Published: about 4 years ago

Software Mentions 6

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
cran: DCA
Dynamic Correlation Analysis for High Dimensional Data
Papers that mentioned: 128
Very Likely Science (93)
cran: DrImpute
Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Papers that mentioned: 19
Very Likely Science (100)
cran: fpc
Flexible Procedures for Clustering
Papers that mentioned: 99
Very Likely Science (75)
cran: SAVER
Single-Cell RNA-Seq Gene Expression Recovery
Papers that mentioned: 40
Very Likely Science (100)
pypi: DCA
Count autoencoder for scRNA-seq denoising
Papers that mentioned: 128
Very Likely Science (100)