| Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field W Wang, L Zhang, J Sun, Q Zhao, J Shuai Briefings in bioinformatics 23 (6), bbac463, 2022 | 121 | 2022 |
| Prediction of potential mirna–disease associations through a novel unsupervised deep learning framework with variational autoencoder L Zhang, X Chen, J Yin Cells 8 (9), 1040, 2019 | 54 | 2019 |
| Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models L Huang, L Zhang, X Chen Briefings in Bioinformatics 23 (5), bbac358, 2022 | 46 | 2022 |
| Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models L Huang, L Zhang, X Chen Briefings in Bioinformatics 23 (6), bbac407, 2022 | 35 | 2022 |
| Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion L Huang, L Zhang, X Chen Briefings in Bioinformatics 23 (6), bbac397, 2022 | 32 | 2022 |
| Differential expression and bioinformatics analysis of circRNA in non-small cell lung cancer Q Sun, X Li, M Xu, L Zhang, H Zuo, Y Xin, L Zhang, P Gong Frontiers in Genetics 11, 586814, 2020 | 32 | 2020 |
| Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection L Zhang, CC Wang, X Chen Briefings in Bioinformatics 23 (6), bbac468, 2022 | 27 | 2022 |
| SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction TH Li, CC Wang, L Zhang, X Chen Briefings in Bioinformatics 24 (1), bbac503, 2023 | 25 | 2023 |
| Short-term coalmine gas concentration prediction based on wavelet transform and extreme learning machine W Xiang, Q Jian-sheng, H Cheng-hua, Z Li Mathematical Problems in Engineering 2014, 2014 | 16 | 2014 |
| Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data L Peng, J Tan, W Xiong, L Zhang, Z Wang, R Yuan, Z Li, X Chen Computers in Biology and Medicine 163, 107137, 2023 | 14 | 2023 |
| Validating HMMR Expression and Its Prognostic Significance in Lung Adenocarcinoma Based on Data Mining and Bioinformatics Methods X Li, H Zuo, L Zhang, Q Sun, Y Xin, L Zhang Frontiers in Oncology 11, 720302, 2021 | 12 | 2021 |
| Stgnnks: identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering L Peng, X He, X Peng, Z Li, L Zhang Computers in Biology and Medicine 166, 107440, 2023 | 8 | 2023 |
| In silico prediction of potential miRNA‐disease association using an integrative bioinformatics approach based on kernel fusion NN Guan, CC Wang, L Zhang, L Huang, JQ Li, X Piao Journal of Cellular and Molecular Medicine 24 (1), 573-587, 2020 | 7 | 2020 |
| 基于体域网的远程健康监护系统设计 吴响， 张立， 赵强， 俞啸 电子技术应用 40 (3), 19-21, 2014 | 7 | 2014 |
| GPCNDTA: prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores L Zhang, CC Wang, Y Zhang, X Chen Computers in Biology and Medicine 166, 107512, 2023 | 4 | 2023 |
| 基于 CC2530 的重症监护病房环境实时监测系统设计 张立， 刘奕君， 赵强 计算机测量与控制 22 (8), 2422-2424, 2014 | 4 | 2014 |
| The gait assisted training device based on variational self-encoder F Wang, L Sun, L Zhang Chinese Journal of Electron Devices 43 (3), 672-676, 2020 | 3 | 2020 |
| 基于 ZigBee 的煤矿采空区环境实时监测系统设计 吴响， 张立， 王丹 煤炭技术 4, 251-253, 2014 | 3 | 2014 |
| A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysis L Peng, X He, L Zhang, X Peng, Y Lu, Z Li, X Chen 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Computational models for self-interacting proteins prediction J Qu, Y Zhao, L Zhang, SB Cai, Z Ming, CC Wang Protein and Peptide Letters 27 (5), 392-399, 2020 | 2 | 2020 |
Xing ChenJiangnan UniversityVerified email at amss.ac.cn
