MILLIPEDE 1.1.0

:: DESCRIPTION

MILLIPEDE is a method that outperforms a leading recent method, centipede, marginally in human but dramatically in yeast (average auROC across 20 TFs increases from 74% to 94%). The sofware is based on logistic regression and thus benefits from supervision, but we show that partially and completely unsupervised variants perform nearly as well.

::DEVELOPER

Alex Hartemink

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux/MacOsX/Windows
• R package

:: DOWNLOAD

 MILLIPEDE

:: MORE INFORMATION

Citation

Pac Symp Biocomput. 2013:80-91.
Using DNase digestion data to accurately identify transcription factor binding sites.
Luo K, Hartemink AJ.