Wenyang Zhou's research while affiliated with Harbin Institute of Technology and other places
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Publication (1)
Cancer is still a severe health problem globally. The therapy of cancer traditionally involves the use of radiotherapy or anticancer drugs to kill cancer cells, but these methods are quite expensive and have side effects, which will cause great harm to patients. With the find of anticancer peptides (ACPs), significant progress has been achieved in...
Citations
... Therefore, many computer-aided methods have been developed based on annotated information from existing datasets, among which machine learning-based methods have become some of the most promising techniques due to their accuracy and versatility in many different tasks. To date, hundreds of machine learning methods have been developed for various peptide and protein prediction tasks [6][7][8][9][10][11][12][13][14][15], which include both traditional methods [6,7], such as Support Vector Machine (SVM), Random Forest (RF) and K-Nearest Neighbour (KNN), as well as advanced deep learning methods [8][9][10], including Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory and the more advanced Transformer and Bidirectional Encoder Representations from Transformers (BERT). Generally, for machine learning models, feature selection is one of the essential steps that can be adjusted to improve model performance [8]. ...
