Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1186/s13059-020-02132-x

https://doi.org/10.1186/s13059-020-02132-x

A systematic evaluation of single-cell RNA-sequencing imputation methods

Cited by: 156
Author(s): Wenpin Hou, Zhicheng Ji, Hongkai Ji, Stephanie Hicks
Published: about 4 years ago

Software Mentions 15

bioconductor: bayNorm

Single-cell RNA sequencing data normalization
Papers that mentioned: 3

bioconductor: CellBench

Construct Benchmarks for Single Cell Analysis Methods
Papers that mentioned: 7

bioconductor: limma

Linear Models for Microarray Data
Papers that mentioned: 7,776

bioconductor: MAST

Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668

bioconductor: scran

Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113

bioconductor: scRecover

scRecover for imputation of single-cell RNA-seq data
Papers that mentioned: 1

bioconductor: TSCAN

Tools for Single-Cell Analysis
Papers that mentioned: 49

cran: DCA

Dynamic Correlation Analysis for High Dimensional Data
Papers that mentioned: 128

cran: DrImpute

Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Papers that mentioned: 19

cran: mclust

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Papers that mentioned: 297

cran: SAVER

Single-Cell RNA-Seq Gene Expression Recovery
Papers that mentioned: 40

pypi: DCA

Count autoencoder for scRNA-seq denoising
Papers that mentioned: 128

pypi: MAST

MAterials Simulation Toolkit
Papers that mentioned: 668

pypi: scScope

scScope is a deep-learning based approach for single cell RNA-seq analysis.
Papers that mentioned: 7

pypi: seq

Generic sequence manipulation functions
Papers that mentioned: 58