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Papers: 10.1186/s12859-021-04028-4

https://doi.org/10.1186/s12859-021-04028-4

scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

Cited by: 12
Author(s): Bobby Ranjan, Florian Schmidt, Wenjie Sun, Jinyu Park, Mohammad Amin Honardoost, Joanna H.J. Tan, Nirmala Arul Rayan, Shyam Prabhakar
Published: over 4 years ago

Software Mentions 12

bioconductor: ComplexHeatmap
Make Complex Heatmaps
Papers that mentioned: 565
Very Likely Science (90)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: SingleR
Reference-Based Single-Cell RNA-Seq Annotation
Papers that mentioned: 97
Very Likely Science (100)
cran: calibrate
Calibration of Scatterplot and Biplot Axes
Papers that mentioned: 14
Likely Science (58)
cran: circlize
Circular Visualization
Papers that mentioned: 260
Very Likely Science (100)
cran: flashClust
Implementation of optimal hierarchical clustering
Papers that mentioned: 74
Very Likely Science (75)
cran: mclust
Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Papers that mentioned: 297
Very Likely Science (85)
cran: RCA
Relational Class Analysis
Papers that mentioned: 39
Very Likely Science (93)
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
Very Likely Science (95)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
cran: WGCNA
Weighted Correlation Network Analysis
Papers that mentioned: 3,479
Very Likely Science (85)
pypi: calibrate
Interpolate using a calibration curve
Papers that mentioned: 14
Very Likely Science (70)