HIGHLIGHTS
- who: Revised and colleagues from the Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia have published the research work: An Efficient Lightweight Hybrid Model with Attention Mechanism for Enhancer Recognition, in the Journal: Biomolecules 2023, 13, 70. of /2023/
- what: The aim of the work was to overcome these limitations presenting a convolutional neural network (CNN) with attention-gated recurrent units (AttGRU) based on Deep Learning. The authors described the basic structure of the proposed model to facilitate a better understanding. For the independent test, the training datasets were used in . . .
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