Quan Zou

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 200

Top Venues

Briefings Bioinform.

Bioinform.

BIBM

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Jici Jiang, Hongdi Pei, Jiayu Li, Mingxin Li, Quan Zou, Zhibin Lv
FEOpti-ACVP: identification of novel anti-coronavirus peptide sequences based on feature engineering and optimization. Briefings Bioinform. 25 (2) (2024)
Shahid Akbar, Ali Raza, Quan Zou
Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model. BMC Bioinform. 25 (1) (2024)
Yuanyi Tian, Quan Zou, Chun-yu Wang, Cangzhi Jia
MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Zhen Li, Qingquan Liao, Wenbin Liu, Peng Xu, Linlin Zhuo, Xiangzheng Fu, Quan Zou
Multi-source data integration for explainable miRNA-driven drug discovery. Future Gener. Comput. Syst. 160 (2024)
Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. Knowl. Based Syst. 284 (2024)
Pinglu Zhang, Huan Liu, Yanming Wei, Yixiao Zhai, Qinzhong Tian, Quan Zou
FMAlign2: a novel fast multiple nucleotide sequence alignment method for ultralong datasets. Bioinform. 40 (1) (2024)
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. Trans. Mach. Learn. Res. 2024 (2024)
Gul Rukh, Shahid Akbar, Gauhar Rehman, Fawaz Khaled Alarfaj, Quan Zou
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learning. BMC Bioinform. 25 (1) (2024)
Shahid Akbar, Quan Zou, Ali Raza, Fawaz Khaled Alarfaj
iAFPs-Mv-BiTCN: Predicting antifungal peptides using self-attention transformer embedding and transform evolutionary based multi-view features with bidirectional temporal convolutional networks. Artif. Intell. Medicine 151 (2024)
Yijie Ding, Fei Guo, Prayag Tiwari, Quan Zou
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model. IEEE Trans. Artif. Intell. 5 (5) (2024)
Changjiang Li, Quan Zou, Cangzhi Jia, Jia Zheng
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention. J. Chem. Inf. Model. 64 (7) (2024)
Mengting Niu, Chunyu Wang, Yaojia Chen, Quan Zou, Lei Xu
Identification, characterization and expression analysis of circRNA encoded by SARS-CoV-1 and SARS-CoV-2. Briefings Bioinform. 25 (2) (2024)
Yi Liu, Quan Zou
Spatial Domain Identifying: Graph Attention Network with Two Different Decoders. ICIC (LNBI 1) (2024)
Zengyou He, Jiaqi Wang, Mudi Jiang, Lianyu Hu, Quan Zou
Random subsequence forests. Inf. Sci. 667 (2024)
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. CoRR (2024)
Yaojia Chen, Jiacheng Wang, Chunyu Wang, Quan Zou
AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding. PLoS Comput. Biol. 20 (1) (2024)
Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. Inf. Fusion 112 (2024)
Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning. ICIC (LNBI 2) (2024)
Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei
Drug Molecule Generation. J. Chem. Inf. Model. 64 (7) (2024)
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169 (2024)
Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. Frontiers Comput. Sci. 18 (2) (2024)
Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, Prayag Tiwari, Yijie Ding
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. Neural Networks 178 (2024)
Chao Wang, Quan Zou, Ying Ju, Hua Shi
Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Ximei Luo, Qun Li, Yifan Tang, Yan Liu, Quan Zou, Jie Zheng, Ying Zhang, Lei Xu
Predicting active enhancers with DNA methylation and histone modification. BMC Bioinform. 24 (1) (2023)
Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Xiaoqing Ru, Quan Zou, Chen Lin
Optimization of drug-target affinity prediction methods through feature processing schemes. Bioinform. 39 (11) (2023)
Ximei Luo, Yansu Wang, Quan Zou, Lei Xu
Recall DNA methylation levels at low coverage sites using a CNN model in WGBS. PLoS Comput. Biol. 19 (6) (2023)
Yunyun Su, Feifei Cui, Shiyu Yan, Quan Zou, Chen Cao, Zilong Zhang
Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems. BIBM (2023)
Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis. BIBM (2023)
Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding
Subspace projection-based weighted echo state networks for predicting therapeutic peptides. Knowl. Based Syst. 263 (2023)
Jing Jiang, Junlin Xu, Yuansheng Liu, Bosheng Song, Xiulan Guo, Xiangxiang Zeng, Quan Zou
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. Briefings Bioinform. 24 (3) (2023)
Zijie Shen, Enhui Shen, Qian-Hao Zhu, Longjiang Fan, Quan Zou, Chu-Yu Ye
GSCtool: A Novel Descriptor that Characterizes the Genome for Applying Machine Learning in Genomics. Adv. Intell. Syst. 5 (12) (2023)
Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings Bioinform. 24 (3) (2023)
Ali Raza, Jamal Uddin, Abdullah Almuhaimeed, Shahid Akbar, Quan Zou, Ashfaq Ahmad
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks. J. Chem. Inf. Model. 63 (21) (2023)
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100 (2023)
Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou
Decision Tree for Sequences. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Haoran Sun, Zhaoqi Song, Qiuming Chen, Meiling Wang, Furong Tang, Lijun Dou, Quan Zou, Fenglong Yang
MMiKG: a knowledge graph-based platform for path mining of microbiota-mental diseases interactions. Briefings Bioinform. 24 (6) (2023)
Liangjie Sun, Yushan Qiu, Wai-Ki Ching, Pu Zhao, Quan Zou
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Comput. Biol. 19 (3) (2023)
Juntao Chen, Jiannan Chao, Huan Liu, Fenglong Yang, Quan Zou, Furong Tang
WMSA 2: a multiple DNA/RNA sequence alignment tool implemented with accurate progressive mode and a fast win-win mode combining the center star and progressive strategies. Briefings Bioinform. 24 (4) (2023)
Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou
SBSM-Pro: Support Bio-sequence Machine for Proteins. CoRR (2023)
Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. 39 (10) (2023)
Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. BIBM (2023)
Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation. BIBM (2023)
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Mengting Niu, Quan Zou, Chunyu Wang
GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks. Bioinform. 38 (8) (2022)
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Yuhang Liu, Shuwen Xiong, Maocheng Wang, Jiliu Zhou, Quan Zou
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape. Briefings Bioinform. 23 (1) (2022)
Yanming Wei, Quan Zou, Furong Tang, Liang Yu
WMSA: a novel method for multiple sequence alignment of DNA sequences. Bioinform. 38 (22) (2022)
Qingwen Li, Lichao Zhang, Lei Xu, Quan Zou, Jin Wu, Qingyuan Li
Identification and classification of promoters using the attention mechanism based on long short-term memory. Frontiers Comput. Sci. 16 (4) (2022)
Meng Zhang, Cangzhi Jia, Fuyi Li, Chen Li, Yan Zhu, Tatsuya Akutsu, Geoffrey I. Webb, Quan Zou, Lachlan J. M. Coin, Jiangning Song
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction. Briefings Bioinform. 23 (2) (2022)
Yansu Wang, Ximei Luo, Quan Zou
Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks. Bioinform. 38 (14) (2022)
Ziwei Wang, Ying Zhang, Qun Li, Quan Zou, Qing Liu
A road map for happiness: The psychological factors related cell types in various parts of human body from single cell RNA-seq data analysis. Comput. Biol. Medicine 143 (2022)
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings Bioinform. 23 (6) (2022)
Mengwei Sun, Prayag Tiwari, Yuqing Qian, Yijie Ding, Quan Zou
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity. Knowl. Based Syst. 250 (2022)
Ran Su, Yingying Zhu, Quan Zou, Leyi Wei
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23 (1) (2022)
Yan Liu, Hao Liang, Quan Zou, Zengyou He
Significance-Based Essential Protein Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Ying Yang, Sha Tian, Yushan Qiu, Pu Zhao, Quan Zou
MDICC: novel method for multi-omics data integration and cancer subtype identification. Briefings Bioinform. 23 (3) (2022)
Mobeen Ur Rehman, Hilal Tayara, Quan Zou, Kil To Chong
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites. Bioinform. 38 (16) (2022)
Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. Briefings Bioinform. 23 (2) (2022)
Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic Acids Res. 50 (D1) (2022)
Yijie Ding, Jijun Tang, Fei Guo, Quan Zou
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. Briefings Bioinform. 23 (2) (2022)
Changli Feng, Jin Wu, Haiyan Wei, Lei Xu, Quan Zou
CRCF: A Method of Identifying Secretory Proteins of Malaria Parasites. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Yijie Ding, Prayag Tiwari, Quan Zou, Fei Guo, Hari Mohan Pandey
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 30 (11) (2022)
Yongqing Zhang, Qiang Zhang, Jiliu Zhou, Quan Zou
A survey on the algorithm and development of multiple sequence alignment. Briefings Bioinform. 23 (3) (2022)
Lei Wang, Hao Li, Yuqi Wang, Yihong Tan, Zhiping Chen, Tingrui Pei, Quan Zou
MDADP: A Webserver Integrating Database and Prediction Tools for Microbe-Disease Associations. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Mengting Niu, Ying Ju, Chen Lin, Quan Zou
Characterizing viral circRNAs and their application in identifying circRNAs in viruses. Briefings Bioinform. 23 (1) (2022)
Zilong Zhang, Feifei Cui, Chen Cao, Qingsuo Wang, Quan Zou
Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections. Comput. Biol. Medicine 140 (2022)
Juntao Chen, Quan Zou, Jing Li
A) sites with LSTM and ensemble learning. Frontiers Comput. Sci. 16 (2) (2022)
Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou
webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinform. 38 (13) (2022)
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. 38 (7) (2022)
Mengting Niu, Quan Zou
SgRNA-RF: Identification of SgRNA On-Target Activity With Imbalanced Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework. BIBM (2022)
Jhabindra Khanal, Hilal Tayara, Quan Zou, Kil To Chong
DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network. Briefings Bioinform. 23 (1) (2022)
Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning. BIBM (2022)
Hao Wu, Qi Liang, Wenxiang Zhang, Quan Zou, Abd El-Latif Hesham, Bin Liu
iLncDA-LTR: Identification of lncRNA-disease associations by learning to rank. Comput. Biol. Medicine 146 (2022)
Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38 (13) (2022)
Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning. BIBM (2022)
Mengting Niu, Quan Zou, Chen Lin
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach. PLoS Comput. Biol. 18 (1) (2022)
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156 (2022)
Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18 (9) (2022)
Chunyan Ao, Quan Zou, Liang Yu
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences. Briefings Bioinform. 23 (1) (2022)
Fan Yang, Jian Zhang, Wanyi Chen, Yongxuan Lai, Ying Wang, Quan Zou
DeepMPM: a mortality risk prediction model using longitudinal EHR data. BMC Bioinform. 23 (1) (2022)
Mengting Niu, Abd El-Latif Hesham, Quan Zou
GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network. ICIC (2) (2022)
Ren Qi, Fei Guo, Quan Zou
String kernels construction and fusion: a survey with bioinformatics application. Frontiers Comput. Sci. 16 (6) (2022)
Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR (2022)
Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. Briefings Bioinform. 22 (4) (2021)
Shanwen Sun, Lei Xu, Quan Zou, Guohua Wang
BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method. Bioinform. 37 (9) (2021)
Yansu Wang, Murong Zhou, Quan Zou, Lei Xu
Machine learning for phytopathology: from the molecular scale towards the network scale. Briefings Bioinform. 22 (5) (2021)
Fenglong Yang, Quan Zou, Bo Gao
GutBalance: a server for the human gut microbiome-based disease prediction and biomarker discovery with compositionality addressed. Briefings Bioinform. 22 (5) (2021)
Lijun Dou, Fenglong Yang, Lei Xu, Quan Zou
A comprehensive review of the imbalance classification of protein post-translational modifications. Briefings Bioinform. 22 (5) (2021)
Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo
A comprehensive overview and critical evaluation of gene regulatory network inference technologies. Briefings Bioinform. 22 (5) (2021)
Ren Qi, Jin Wu, Fei Guo, Lei Xu, Quan Zou
A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data. Briefings Bioinform. 22 (4) (2021)
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou
High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method. Briefings Bioinform. 22 (6) (2021)
Wenying He, Jijun Tang, Quan Zou, Fei Guo
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. Briefings Bioinform. 22 (6) (2021)
Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9 (2021)
Feifei Cui, Murong Zhou, Quan Zou
Computational biology and chemistry Special section editorial: Computational analyses for miRNA. Comput. Biol. Chem. 91 (2021)
Yinuo Lyu, Wenying He, Shuhao Li, Quan Zou, Fei Guo
iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Yushan Qiu, Wai-Ki Ching, Quan Zou
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition. Briefings Bioinform. 22 (6) (2021)
Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou, Xiangrong Liu
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques. BMC Bioinform. 22 (1) (2021)
Zhibin Lv, Feifei Cui, Quan Zou, Lichao Zhang, Lei Xu
Anticancer peptides prediction with deep representation learning features. Briefings Bioinform. 22 (5) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Quan Zou