| 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 | 240 | 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 | 92 | 2022 |
| Power analysis of transcriptome-wide association study: Implications for practical protocol choice C Cao, B Ding, Q Li, D Kwok, J Wu, Q Long PLoS genetics 17 (2), e1009405, 2021 | 51 | 2021 |
| kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes C Cao, D Kwok, S Edie, Q Li, B Ding, P Kossinna, S Campbell, J Wu, ... Briefings in bioinformatics 22 (4), bbaa270, 2021 | 33 | 2021 |
| A New Secondary Structure Assignment Algorithm Using Cα Backbone Fragments C Cao, G Wang, A Liu, S Xu, L Wang, S Zou International journal of molecular sciences 17 (3), 333, 2016 | 28 | 2016 |
| Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning C Zuo, Y Zhang, C Cao, J Feng, M Jiao, L Chen Nature Communications 13 (1), 5962, 2022 | 25 | 2022 |
| 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 | 24 | 2022 |
| A novel method for drug-target interaction prediction based on graph transformers model H Wang, F Guo, M Du, G Wang, C Cao BMC bioinformatics 23 (1), 459, 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 | 22 | 2022 |
| An adaptive sparse subspace clustering for cell type identification R Zheng, Z Liang, X Chen, Y Tian, C Cao, M Li Frontiers in genetics 11, 407, 2020 | 22 | 2020 |
| Disentangling genetic feature selection and aggregation in transcriptome-wide association studies C Cao, P Kossinna, D Kwok, Q Li, J He, L Su, X Guo, Q Zhang, Q Long Genetics 220 (2), iyab216, 2022 | 21 | 2022 |
| 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 | 19 | 2022 |
| Integrating transcription factor occupancy with transcriptome-wide association analysis identifies susceptibility genes in human cancers J He, W Wen, A Beeghly, Z Chen, C Cao, XO Shu, W Zheng, Q Long, ... Nature communications 13 (1), 7118, 2022 | 17 | 2022 |
| An algorithm for protein helix assignment using helix geometry C Cao, S Xu, L Wang PloS one 10 (7), e0129674, 2015 | 16 | 2015 |
| Reconstruction of microbial haplotypes by integration of statistical and physical linkage in scaffolding C Cao, J He, L Mak, D Perera, D Kwok, J Wang, M Li, T Mourier, ... Molecular biology and evolution 38 (6), 2660-2672, 2021 | 13 | 2021 |
| WgLink: reconstructing whole-genome viral haplotypes using L0+L1-regularization C Cao, M Greenberg, Q Long Bioinformatics 37 (17), 2744-2746, 2021 | 9 | 2021 |
| Botanical drugs: a new strategy for structure-based target prediction X Wei, X Wu, Z Cheng, Q Wu, C Cao, X Xu, H Shang Briefings in Bioinformatics 23 (1), bbab425, 2022 | 8 | 2022 |
| Using discriminative vector machine model with 2DPCA to predict interactions among proteins Z Li, R Nie, Z You, C Cao, J Li BMC bioinformatics 20, 1-9, 2019 | 8 | 2019 |
| Improving the performance of the PLB index for ligand-binding site prediction using dihedral angles and the solvent-accessible surface area C Cao, S Xu Scientific Reports 6 (1), 33232, 2016 | 8 | 2016 |
| 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 | 6 | 2024 |
