The prediction of tissue specific active regulatory regions in the human genome is a relevant problem in Bioinformatics and Molecular Biology. Indeed only when regulatory regions, such as promoters and enhancers, are active in a specific cell the transcription factors and the molecular machinery can exert their role to regulate the expression of specific genes. In this project I developed deep neural models able to predict whether a specific non-coding regulatory regions (e.g. a promoter or an enhancer) are active or not in a specific cell, using the nucleotide sequences of DNA and the epigenetic data associated with each regulatory region. The project focuses on learning how to construct the models and design sound experimental procedures to obtain statistically reliable results.
More information provided with the report. In the report most of the output size is not big enough. You can also check the results from Outputs file.