Papers: 10.3390/genes12020311

https://doi.org/10.3390/genes12020311

Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model

Cited by: 7
Author(s): Zhenqiu Liu
Published: over 5 years ago

Software Mentions 8

bioconductor: SC3
Single-Cell Consensus Clustering
Papers that mentioned: 71
Very Likely Science (100)
bioconductor: SIMLR
Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Papers that mentioned: 40
Very Likely Science (65)
cran: RaceID
Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Papers that mentioned: 25
Very Likely Science (75)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
pypi: kmeans
python wrapper for basic c implementation of kmeans
Papers that mentioned: 62
Very Likely Science (65)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)
pypi: scanpy
Single-Cell Analysis in Python.
Papers that mentioned: 68
Very Likely Science (100)
pypi: SIMLR
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning
Papers that mentioned: 40
Very Likely Science (75)