Cheng Chen

发表

ArticlePrediction of extracellular matrix proteins by fusing multiple feature information

Bin Yu, Ming-Hui Wang, Qin Ma, 2020 .

Hydrogen bonds meet self-attention: all you need for general-purpose protein structure embedding

Daming Zhu, K. Ning, Yuguo Zha, 2021, bioRxiv.

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting

Bin Yu, Bingqiang Liu, Qin Ma, 2020, bioRxiv.

Prediction subcellular localization of Gram-negative bacterial proteins by support vector machine using wavelet denoising and Chou's pseudo amino acid composition

Shan Li, Bin Yu, Xue Wu, 2017 .

SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting

Cheng Chen, Qin Ma, Bin Yu, 2020, Bioinform..

Prediction of protein-protein interactions based on ensemble residual convolutional neural network

Bin Yu, Congjing Wang, Hongli Gao, 2022, Comput. Biol. Medicine.

Prediction of protein crotonylation sites through LightGBM classifier based on SMOTE and elastic net.

Yaning Liu, Bin Yu, Yu Han, 2020, Analytical biochemistry.

LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

Cheng Chen, Qin Ma, Qingmei Zhang, 2019, Chemometrics and Intelligent Laboratory Systems.

Prediction of protein-protein interactions based on elastic net and deep forest

Bin Yu, Cheng Chen, Bingqiang Liu, 2020, bioRxiv.

Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

Xiaoying Wang, Bin Yu, Bingqiang Liu, 2018, Bioinform..

Ontology-Aware Deep Learning Enables Novel Antibiotic Resistance Gene Discovery Towards Comprehensive Profiling of ARGs

K. Ning, Xuefeng Cui, Cheng Chen, 2021 .

RBPro-RF: Use Chou’s 5-steps rule to predict RNA-binding proteins via random forest with elastic net

Cheng Chen, Qin Ma, Bin Yu, 2020 .

DeepStack-DTIs: Predicting Drug–Target Interactions Using LightGBM Feature Selection and Deep-Stacked Ensemble Classifier

Bin Yu, Yan Zhang, Cheng Chen, 2021, Interdisciplinary Sciences: Computational Life Sciences.

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

Bin Yu, Cheng Chen, Qin Ma, 2020, Comput. Biol. Medicine.

RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network

Adil Salhi, Bin Yu, Yifei Wang, 2023, Pattern Recognit..

Prediction of Extracellular Matrix Proteins by Fusing Multiple Feature Information, Elastic Net, and Random Forest Algorithm

Cheng Chen, Qin Ma, Bin Yu, 2020, Mathematics.

DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network

Bin Yu, Yu Han, Cheng Chen, 2020, bioRxiv.

OP-CBIO181031 2395..2402

Qin Ma, Bin Yu, Bingqiang Liu, 2019 .

rzMLP-DTA: gMLP network with ReZero for sequence-based drug-target affinity prediction

Yuxiao Wang, Xuefeng Cui, Zongzhao Qiu, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention.

Bin Yu, Cheng Chen, Jihua Jia, 2023, Computers in biology and medicine.

Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.

Bin Yu, Qin Ma, Cheng Chen, 2019, Journal of theoretical biology.

SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting

Minghui Wang, Qin Ma, Bin Yu, 2020, Neural Computing and Applications.

DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion

Cheng Chen, Bingqiang Liu, Anjun Ma, 2020 .

Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

Q. Ma, Bin Yu, Bingqiang Liu, 2018, Bioinform..

SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting

Qin Ma, Bin Yu, Hongyan Zhou, 2020, Neural Computing and Applications.