knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
The package provides an interactive visualization and reporting environment for exploring the results of the methylome decomposition experiments carried out by MeDeCom
You can install FactorViz through GitHub using devtools:
install.packages("devtools") devtools::install_github("CompEpigen/FactorViz")
You can start FactorViz by using startFactorViz()
command.
You can also initialise FactorViz by providing paths to the files or the DecompPipeline output to the startFactorViz()
command. It accepts the following parameters.
decomp_output
: takes in the directory path to DecompPipeline outputmedecom_set
: takes in the path to medecom set fileann_C
: takes in the path to CpG Annotation fileann_S
: takes in the path to Sample Annotation fileref_meth
: takes in the path to Reference Methylome fileNote: If decomp_output is provided all other parameters are force set to NULL
If paramaters are not provided you can load the file by providing the path to DecompPipeline output directory (Fig 1a) in the user interface or by selecting the directory with the built-in file manager (Fig 1b, Fig 2)
Once selected you can check the file names of that will be loaded into FactorViz in the UI (Fig 3).
With FactorViz you can also load the dataset from multiple location by switching the Non DeCompPipeline checkbox (Fig 4)
After the paths are set click on the Load Dataset
button to load the dataset into FactorViz to carry out further analysis (Fig 5)
The further section of K Selection, Lambda Selection, LMC, Proportions and Meta-Analysis
are explained in detail in MeDeCom documentation.
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