| scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses J Wang, A Ma, Y Chang, J Gong, Y Jiang, R Qi, C Wang, H Fu, Q Ma, ... Nature communications 12 (1), 1882, 2021 | 389 | 2021 |
| Clustering and classification methods for single-cell RNA-sequencing data R Qi, A Ma, Q Ma, Q Zou Briefings in bioinformatics 21 (4), 1196-1208, 2020 | 146 | 2020 |
| scREAD: a single-cell RNA-Seq database for Alzheimer's disease J Jiang, C Wang, R Qi, H Fu, Q Ma Iscience 23 (11), 2020 | 78 | 2020 |
| scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder B Yu, C Chen, R Qi, R Zheng, PJ Skillman-Lawrence, X Wang, A Ma, ... Briefings in bioinformatics 22 (4), bbaa316, 2021 | 34 | 2021 |
| A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data R Qi, J Wu, F Guo, L Xu, Q Zou Briefings in Bioinformatics 22 (4), bbaa216, 2021 | 31 | 2021 |
| Trends and potential of machine learning and deep learning in drug study at single-cell level R Qi, Q Zou Research 6, 0050, 2023 | 14 | 2023 |
| String kernels construction and fusion: a survey with bioinformatics application R Qi, F Guo, Q Zou Frontiers of Computer Science 16 (6), 166904, 2022 | 14 | 2022 |
| Beyond Similar and Dissimilar Relations: A Kernel Regression Formulation for Metric Learning. P Zhu, R Qi, Q Hu, Q Wang, C Zhang, L Yang IJCAI, 3242-3248, 2018 | 11 | 2018 |
| Joint masking and self-supervised strategies for inferring small molecule-miRNA associations Z Zhou, L Zhuo, X Fu, J Lv, Q Zou, R Qi Molecular Therapy-Nucleic Acids 35 (1), 2024 | 5 | 2024 |
| Deep transfer learning of drug sensitivity by integrating bulk and single-cell RNA-seq data J Chen, R Qi, Z Wu, A Ma, J Zhao, D Xu, L Li, Q Ma BioRxiv, 2021.08. 01.454654, 2021 | 5 | 2021 |
| Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses J Wang, A Ma, Y Chang, J Gong, Y Jiang, R Qi, C Wang, H Fu, Q Ma, ... Nature Communications 13, 2022 | 4 | 2022 |
| Machine learning methods in single-cell immune and drug response prediction R Qi, Q Zou Frontiers in Genetics 14, 1233078, 2023 | 2 | 2023 |
| scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means X Wang, H Gao, R Qi, R Zheng, X Gao, B Yu IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 2 | 2022 |
| YuBinLab-QUST/scBKAP: scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means X Wang, H Gao, R Qi, R Zheng, X Gao, B Yu Github, 2022 | 2 | 2022 |
| CircRNA identification and feature interpretability analysis M Niu, C Wang, Y Chen, Q Zou, R Qi, L Xu BMC biology 22 (1), 44, 2024 | 1 | 2024 |
| PseU-KeMRF: A novel method for identifying RNA pseudouridine sites M Chen, Q Zou, R Qi, Y Ding IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | | 2024 |
| A new method for handling heterogeneous data in bioinformatics R Qi, Z Zhang, J Wu, L Dou, L Xu, Y Cheng Computers in Biology and Medicine 170, 107937, 2024 | | 2024 |
| Special Protein or RNA Molecules Computational Identification R Qi, Q Zou International Journal of Molecular Sciences 24 (14), 11312, 2023 | | 2023 |
| Machine Learning Techniques on Gene Function Prediction Volume II R Qi, AK Sangaiah, D Mrozek, Q Zou Frontiers in Genetics 13, 949285, 2022 | | 2022 |
| Multiple Kernel Geometric Mean Metric Learning for Heterogeneous Data 齐忍， 朱鹏飞， 梁建青 Journal of Software 28 (11), 2992-3001, 2017 | | 2017 |
