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Papers: 10.3390/genes12030352

https://doi.org/10.3390/genes12030352

Temporal Dynamic Methods for Bulk RNA-Seq Time Series Data

Cited by: 10
Author(s): Vera-Khlara S. Oh, Robert W. Li
Published: over 4 years ago

Software Mentions 12

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: Harman
The removal of batch effects from datasets using a PCA and constrained optimisation based technique
Papers that mentioned: 10
Very Likely Science (98)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: maSigPro
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Papers that mentioned: 119
Very Likely Science (100)
bioconductor: RUVSeq
Remove Unwanted Variation from RNA-Seq Data
Papers that mentioned: 91
Very Likely Science (100)
bioconductor: splineTimeR
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Papers that mentioned: 3
Very Likely Science (100)
bioconductor: Trendy
Breakpoint analysis of time-course expression data
Papers that mentioned: 8
Very Likely Science (100)
cran: GPrank
Papers that mentioned: 2
Unlikely Science (0)
cran: iDINGO
Integrative Differential Network Analysis in Genomics
Papers that mentioned: 4
Very Likely Science (93)
cran: MetaCycle
Evaluate Periodicity in Large Scale Data
Papers that mentioned: 47
Very Likely Science (75)
cran: TcGSA
Time-Course Gene Set Analysis
Papers that mentioned: 4
Very Likely Science (100)