DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network

Expert Systems with Applications(2022)

Cited 17|Views15
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Abstract
•Developed a novel deep learning based predictor namely DBP-CNN for prediction of DBPs.•The local decisive information from PSSM was investigated by tetra-slicing.•DCT compression technique was applied to eliminate noisy data.•2D CNN, XGB, ERT, and RF were used as classification algorithms.•Our novel feature encoder PSSM-TS-DCT with 2D CNN achieved the best performance.
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Key words
DNA-binding proteins,Convolutional neural network,Discrete cosine transform,eXtreme Gradient Boosting,Position-specific scoring matrix
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