Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [CODE: CRMs]

This repository contains the positive and negative training sets generated from the ChIP-seq transcription factor and histone post-translational modification data. Such sets of data were run as input to the RFECS software. RFECS is a tailor-made random forest model for making cis-regulatory module (CRM) predictions. The random forest model used for making the predictions is also available in this repository as a binary MATLAB file.
The references below explain specifically how to (1) access a MATLAB file and (2), how to use the current model file to predict the CRMs. For more details about the RFECS algorithm itself, take a look at reference (3).