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# crm_analysis This is code and data of a manageable size for my shadow-enhancer-prediction project. scripts in code file include: Python scripts for annotating known enhancers with genomic data pulled out of bedgraphs Python scripts for predicting enhancers based on clusters of transcription factor binding R scripts for training and testing how well enhancer activity can be predicted currently titled "crm_version number.R"-- I need to come up with something better Machine learning input: -Genomic information (primarily taken from MacArthur et al. 2009 in the Eisen lab) for reporters identified by Kvon et al. 2014 in the Stark lab -Genomic information for putative enhancers, identified by overlap of Dorsal binding + one additional transcription factor Machine learning output: -misc outputs from my R scripts output_data -output from enhancer prediction scripts
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