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Papers: 10.1186/s12575-018-0067-8

https://doi.org/10.1186/s12575-018-0067-8

Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results

Cited by: 23
Author(s): Shitao Zhao, Jianqiang Sun, Kentaro Shimizu, Koji Kadota
Published: over 7 years ago

Software Mentions 10

bioconductor: ArrayExpress
Access the ArrayExpress Collection at EMBL-EBI Biostudies and build Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet
Papers that mentioned: 1,962
Very Likely Science (83)
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
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: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: ROC
utilities for ROC, with microarray focus
Papers that mentioned: 123
Very Likely Science (100)
bioconductor: TCC
TCC: Differential expression analysis for tag count data with robust normalization strategies
Papers that mentioned: 67
Very Likely Science (100)
cran: cluster
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Papers that mentioned: 416
Very Likely Science (85)
cran: RobLoxBioC
Infinitesimally Robust Estimators for Preprocessing -Omics Data
Papers that mentioned: 3
Very Likely Science (75)
pypi: cluster
Simple clustering library for python.
Papers that mentioned: 416
Very Likely Science (80)