Papers: 10.1038/s41598-021-88209-4

https://doi.org/10.1038/s41598-021-88209-4

Identification of transcriptional subtypes in lung adenocarcinoma and squamous cell carcinoma through integrative analysis of microarray and RNA sequencing data

Cited by: 6
Author(s): François Fauteux, Anuradha Surendra, Scott McComb, Youlian Pan, Jonathan D. Hill
Published: over 5 years ago

Software Mentions 15

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
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bioconductor: limma
Linear Models for Microarray Data
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bioconductor: preprocessCore
A collection of pre-processing functions
Papers that mentioned: 146
Very Likely Science (100)
bioconductor: sva
Surrogate Variable Analysis
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bioconductor: VariantAnnotation
Annotation of Genetic Variants
Papers that mentioned: 47
Very Likely Science (100)
cran: DescTools
Tools for Descriptive Statistics
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cran: NbClust
Determining the Best Number of Clusters in a Data Set
Papers that mentioned: 181
Very Likely Science (75)
cran: NMF
Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
Papers that mentioned: 108
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cran: Rcpp
Seamless R and C++ Integration
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cran: Rdimtools
Dimension Reduction and Estimation Methods
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cran: RWeka
R/Weka Interface
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cran: STAR
Spike Train Analysis with R
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pypi: rma
Utilities to profile Redis RAM usage
Papers that mentioned: 67
Likely Science (40)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)