Simple and efficient workflow for time-course gene expression data, built on publictly available open-source projects hosted on CRAN and bioconductor. moanin provides helper functions for all the steps required for analysing time-course data using functional data analysis: (1) functional modeling of the timecourse data; (2) differential expression analysis; (3) clustering; (4) downstream analysis.
Package details |
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Bioconductor views | Clustering DifferentialExpression GeneExpression Microarray RNASeq TimeCourse |
Maintainer | |
License | BSD 3-clause License + file LICENSE |
Version | 1.1.2 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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