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Papers: 10.1186/s13059-019-1766-4

https://doi.org/10.1186/s13059-019-1766-4

scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data

Cited by: 74
Author(s): Nelson Johansen, Gerald Quon
Published: almost 6 years ago

Software Mentions 12

bioconductor: CellBench
Construct Benchmarks for Single Cell Analysis Methods
Papers that mentioned: 7
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
Very Likely Science (100)
bioconductor: scAlign
Papers that mentioned: 4
Unlikely Science (0)
bioconductor: scmap
A tool for unsupervised projection of single cell RNA-seq data
Papers that mentioned: 34
Very Likely Science (100)
bioconductor: scMerge
scMerge: Merging multiple batches of scRNA-seq data
Papers that mentioned: 8
Very Likely Science (100)
cran: Rtsne
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
Papers that mentioned: 255
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)
pypi: MNN
C methods for MNN Package
Papers that mentioned: 12
Very Likely Science (80)
pypi: scanorama
Panoramic stitching of heterogeneous single cell transcriptomic data
Papers that mentioned: 2
Very Likely Science (91)
pypi: scmap
Assigns rgb colors to points on sphere.
Papers that mentioned: 34
Very Likely Science (65)