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Identifying enhancers and their strength by the integration of word embedding and Convolution Neural Network
The enhancer is a short regulatory element that plays a major role in up-regulating eukaryotic gene expression. To identify enhancers, an experimental process takes a long time and high cost; therefore, an accurate computational tool is a much-needed work in this area. Existing techniques were developed by the use of handcrafted features followed by machine learning techniques, while the proposed model extracts the features of enhancers from raw DNA sequences by the integration of naturaldoi:10.1109/access.2020.2982666 fatcat:l5mlar7mpfcydnaveyresv5yea