| webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study C Cao, J Wang, D Kwok, F Cui, Z Zhang, D Zhao, MJ Li, Q Zou Nucleic acids research 50 (D1), D1123-D1130, 2022 | 197 | 2022 |
| Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections Z Zhang, F Cui, C Cao, Q Wang, Q Zou Computers in biology and medicine 140, 105092, 2022 | 86 | 2022 |
| Anticancer peptides prediction with deep representation learning features Z Lv, F Cui, Q Zou, L Zhang, L Xu Briefings in bioinformatics 22 (5), bbab008, 2021 | 85 | 2021 |
| Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches K Lin, Y Zhao, JH Kuo, H Deng, F Cui, Z Zhang, M Zhang, C Zhao, X Gao, ... Journal of Cleaner Production 346, 130943, 2022 | 84 | 2022 |
| Score level fusion of fingerprint and finger vein recognition F Cui, G Yang Journal of Computational information systems 7 (16), 5723-5731, 2011 | 61 | 2011 |
| Sequence representation approaches for sequence-based protein prediction tasks that use deep learning F Cui, Z Zhang, Q Zou Briefings in Functional Genomics 20 (1), 61-73, 2021 | 39 | 2021 |
| Critical downstream analysis steps for single-cell RNA sequencing data Z Zhang, F Cui, C Lin, L Zhao, C Wang, Q Zou Briefings in bioinformatics 22 (5), bbab105, 2021 | 37 | 2021 |
| Goals and approaches for each processing step for single-cell RNA sequencing data Z Zhang, F Cui, C Wang, L Zhao, Q Zou Briefings in Bioinformatics 22 (4), bbaa314, 2021 | 36 | 2021 |
| Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data F Cui, Z Zhang, C Cao, Q Zou, D Chen, X Su Proteomics 22 (8), 2100197, 2022 | 22 | 2022 |
| webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration Z Zhang, F Cui, W Su, L Dou, A Xu, C Cao, Q Zou Bioinformatics 38 (13), 3488-3489, 2022 | 19 | 2022 |
| Single-cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma Z Zhang, F Cui, M Zhou, S Wu, Q Zou, B Gao Current Gene Therapy 21 (4), 338-348, 2021 | 19 | 2021 |
| DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins F Cui, S Li, Z Zhang, M Sui, C Cao, AEL Hesham, Q Zou Computational and Structural Biotechnology Journal 20, 2020-2028, 2022 | 17 | 2022 |
| MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting K Lin, Y Zhao, L Wang, W Shi, F Cui, T Zhou Frontiers of Environmental Science & Engineering 17 (6), 77, 2023 | 9 | 2023 |
| Machine learning-based prediction model for distant metastasis of breast cancer H Duan, Y Zhang, H Qiu, X Fu, C Liu, X Zang, A Xu, Z Wu, X Li, Q Zhang, ... Computers in Biology and Medicine 169, 107943, 2024 | 3 | 2024 |
| RAVAR: a curated repository for rare variant–trait associations C Cao, M Shao, C Zuo, D Kwok, L Liu, Y Ge, Z Zhang, F Cui, M Chen, ... Nucleic Acids Research 52 (D1), D990-D997, 2024 | 3 | 2024 |
| Computational biology and chemistry special section editorial: computational analyses for miRNA F Cui, M Zhou, Q Zou Computational biology and chemistry 91, 107448, 2021 | 3 | 2021 |
| AGF-PPIS: A protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks X Fu, Y Yuan, H Qiu, H Suo, Y Song, A Li, Y Zhang, C Xiao, Y Li, L Dou, ... Methods 222, 142-151, 2024 | 1 | 2024 |
| AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies R Liu, Z Zhang, X Fu, S Yan, F Cui 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Briefings in functional genomics special section editorial: analysis of integrated multiple omics data F Cui, L Cheng, Q Zou Briefings in Functional Genomics 20 (4), 196-197, 2021 | 1 | 2021 |
| IEEE access special section editorial: Feature representation and learning methods with applications in large-scale biological sequence analysis F Cui, Q Zou, Q Ma, L Wei, J Tang, D Mrozek IEEE Access 9, 33110-33119, 2021 | 1 | 2021 |
