Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides
W Gao, J Zhao, J Gui, Z Wang, J Chen… - Journal of Chemical …, 2024 - ACS Publications
In recent years, the prediction of antimicrobial peptides (AMPs) has gained prominence due
to their high antibacterial activity and reduced susceptibility to drug resistance, making them …
to their high antibacterial activity and reduced susceptibility to drug resistance, making them …
DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
H Shi, T Xu, X Li, Q Gao, J Xia, Z Yue - arXiv preprint arXiv:2408.12139, 2024 - arxiv.org
Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized
medicine. Despite numerous deep learning methods that have been developed for drug …
medicine. Despite numerous deep learning methods that have been developed for drug …
Co-Design of Power Dispatch with Dynamic Power Regulation and Communication Transmission Optimization for Frequency Control in VPPs
The increasing integration of intermittent renewable energy sources into distribution
networks has exerted significant pressure on the frequency regulation of power systems …
networks has exerted significant pressure on the frequency regulation of power systems …
TeaTFactor: a prediction tool for tea plant transcription factors based on BERT
Q Tang, Y Xiang, W Gao, L Zhu, Z Xu… - … /ACM Transactions on …, 2024 - ieeexplore.ieee.org
A transcription factor (TF) is a sequence-specific DNA-binding protein, which plays key roles
in cell-fate decision by regulating gene expression. Predicting TFs is key for tea plant …
in cell-fate decision by regulating gene expression. Predicting TFs is key for tea plant …