FPML-package: Footprint Machine Learning
In PriceLab/FPML: Footprint Machine Learning

Use footprint data and ChipSEQ data from lymphoblast tissue to build models for predicting binding sites given footprints and other metadata

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~~ An overview of how to use the package, including the most important ~~ ~~ functions ~~

Matthew Richards

Maintainer: Matthew Richards <mrichard@systemsbiology.org>

~~ Literature or other references for background information ~~

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~

1	~~ simple examples of the most important functions ~~

PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.

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README.md

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