# PFP: Pathway fingerprint analysis in R
This package implements the pathway fingerprint framework. A biomedical pathway
is characterized as a spectrum-like vector called “pathway fingerprint”, which
contains similarities to basic pathways. This knowledge-based multidimensional
characterization provides a more intuitive way to decipher molecular pathways,
especially for large-scale pathway comparisons and clustering analyses.
To install **PFP**, please note especially a depencies of
**PFP**, **org.Mm.eg.db** are only available from
Install the Bioconductor dependencies package first:
It also allows users to install the latest development version from github, which requires **devtools** package has been installed on your system (or can be installed using `install.packages("devtools")`). Note that devtools sometimes needs some extra non-R software on your system -- more specifically, an Rtools download for Windows or Xcode for OS X. There's more information about devtools
## install PFP from github, require biocondutor dependencies package pre-installed
After installation, you can load **PFP** into current workspace by typing or pasting the following codes:
For very simple changes such as fixing typos, you can just edit the file by clicking the button `Edit`.
For more complicated changes, you will have to manually create a pull request after forking this repository.
`PFP` is a free and open source software, licensed under GPL 2.0.