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Papers: 10.1186/s13059-020-02128-7

https://doi.org/10.1186/s13059-020-02128-7

Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis

Cited by: 15
Author(s): Félix Raimundo, Céline Vallot, Jean-Philippe Vert
Published: almost 5 years ago

Software Mentions 6

bioconductor: scran
Methods for Single-Cell RNA-Seq Data Analysis
Papers that mentioned: 113
Very Likely Science (100)
cran: DCA
Dynamic Correlation Analysis for High Dimensional Data
Papers that mentioned: 128
Very Likely Science (93)
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: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)