Cheng Chen

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention.
Comput. Biol. Medicine
Tingting Zhang, Jihua Jia, Cheng Chen, Yaqun Zhang, Bin Yu
2023 J jnl
Prediction of protein-protein interactions based on ensemble residual convolutional neural network.
Comput. Biol. Medicine
Hongli Gao, Cheng Chen, Shuangyi Li, Congjing Wang, Weifeng Zhou, Bin Yu
2023 J jnl
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network.
Pattern Recognit.
Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu
2021 J jnl
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network.
Comput. Biol. Medicine
Cheng Chen, Han Shi, Zhiwen Jiang, Adil Salhi, Ruixin Chen, Xuefeng Cui, Bin Yu
2021 — conf
Jointly Learning to Align and Aggregate with Cross Attention Pooling for Peptide-MHC Class I Binding Prediction.
BIBM
Cheng Chen, Zongzhao Qiu, Zhenghe Yang, Bin Yu, Xuefeng Cui
2021 J jnl
Prediction of protein-protein interactions based on elastic net and deep forest.
Expert Syst. Appl.
Bin Yu, Cheng Chen, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu
2021 J jnl
scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder.
Briefings Bioinform.
Bin Yu, Cheng Chen, Ren Qi, Ruiqing Zheng, Patrick J. Skillman-Lawrence, Xiaolin Wang, Anjun Ma, Haiming Gu
2020 J jnl
GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting.
Genom. Proteom. Bioinform.
Bin Yu, Cheng Chen, Hongyan Zhou, Bingqiang Liu, Qin Ma
2020 J jnl
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier.
Comput. Biol. Medicine
Cheng Chen, Qingmei Zhang, Bin Yu, Zhaomin Yu, Patrick J. Lawrence, Qin Ma, Yan Zhang
2020 J jnl
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting.
Bioinform.
Bin Yu, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma
2020 J jnl
SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting.
Neural Comput. Appl.
Minghui Wang, Xiaowen Cui, Bin Yu, Cheng Chen, Qin Ma, Hongyan Zhou
2019 J jnl
Predicting Golgi-Resident Protein Types Using Conditional Covariance Minimization With XGBoost Based on Multiple Features Fusion.
IEEE Access
Hongyan Zhou, Cheng Chen, Minghui Wang, Qin Ma, Bin Yu
2019 J jnl
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.
Bioinform.
Xiaoying Wang, Bin Yu, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma