This project aims to scan genome sequence to identiofy mutations that seem to be responsible for splicing dyregulation in cancer. extract_all_events.py and process_all_sequences.py are scripts to pre-process the splicing events and the genome sequences respectively. conv1d_pkoo_TCGA_splicing_prediction.py runs the convolutional neural network model. The pytohn notebooks show an analysis of the correlation of the RNA binding protein peak enrichement with two benchmarking methods.
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fzohrasmaili/RNA-Splicing
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