| Long non-coding RNAs and complex diseases: from experimental results to computational models X Chen, CC Yan, X Zhang, ZH You Briefings in bioinformatics 18 (4), 558-576, 2017 | 589 | 2017 |
| MicroRNAs and complex diseases: from experimental results to computational models XCDXQZ Zhu-Hong Briefings in Bioinformatics, 1-10, 2017 | 549* | 2017 |
| PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction ZH You, ZA Huang, Z Zhu, GY Yan, ZW Li, Z Wen, X Chen PLoS computational biology 13 (3), e1005455, 2017 | 405 | 2017 |
| WBSMDA: within and between score for MiRNA-disease association prediction X Chen, CC Yan, X Zhang, ZH You, L Deng, Y Liu, Y Zhang, Q Dai Scientific reports 6 (1), 21106, 2016 | 399 | 2016 |
| A nonnegative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method X Luo, MC Zhou, S Li, Z You, Y Xia, Q Zhu IEEE transactions on neural networks and learning systems 27 (3), 579-592, 2015 | 336 | 2015 |
| Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis ZH You, YK Lei, L Zhu, J Xia, B Wang BMC bioinformatics 14, 1-11, 2013 | 328 | 2013 |
| Leaf image based cucumber disease recognition using sparse representation classification S Zhang, X Wu, Z You, L Zhang Computers and electronics in agriculture 134, 135-141, 2017 | 322 | 2017 |
| Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG S Zhang, H Wang, W Huang, Z You Optik 157, 866-872, 2018 | 309 | 2018 |
| BNPMDA: bipartite network projection for MiRNA–disease association prediction X Chen, D Xie, L Wang, Q Zhao, ZH You, H Liu Bioinformatics 34 (18), 3178-3186, 2018 | 306 | 2018 |
| Incorporation of efficient second-order solvers into latent factor models for accurate prediction of missing QoS data X Luo, MC Zhou, S Li, Y Xia, ZH You, QS Zhu, H Leung IEEE transactions on cybernetics 48 (4), 1216-1228, 2017 | 255 | 2017 |
| A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases X Chen, YA Huang, ZH You, GY Yan, XS Wang Bioinformatics 33 (5), 733-739, 2017 | 243 | 2017 |
| Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data ZH You, YK Lei, J Gui, DS Huang, X Zhou Bioinformatics 26 (21), 2744-2751, 2010 | 241 | 2010 |
| HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction X Chen, CC Yan, X Zhang, ZH You, YA Huang, GY Yan Oncotarget 7 (40), 65257, 2016 | 231 | 2016 |
| DroidDet: effective and robust detection of android malware using static analysis along with rotation forest model HJ Zhu, ZH You, ZX Zhu, WL Shi, X Chen, L Cheng Neurocomputing 272, 638-646, 2018 | 226 | 2018 |
| A computational-based method for predicting drug–target interactions by using stacked autoencoder deep neural network L Wang, ZH You, X Chen, SX Xia, F Liu, X Yan, Y Zhou, KJ Song Journal of Computational Biology 25 (3), 361-373, 2018 | 203 | 2018 |
| IRWRLDA: improved random walk with restart for lncRNA-disease association prediction X Chen, ZH You, GY Yan, DW Gong Oncotarget 7 (36), 57919, 2016 | 203 | 2016 |
| MCMDA: Matrix completion for MiRNA-disease association prediction JQ Li, ZH Rong, X Chen, GY Yan, ZH You Oncotarget 8 (13), 21187, 2017 | 201 | 2017 |
| Graph representation learning in bioinformatics: trends, methods and applications HC Yi, ZH You, DS Huang, CK Kwoh Briefings in Bioinformatics 23 (1), bbab340, 2022 | 191 | 2022 |
| Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest ZH You, KCC Chan, P Hu PloS one 10 (5), e0125811, 2015 | 188 | 2015 |
| ACP-DL: a deep learning long short-term memory model to predict anticancer peptides using high-efficiency feature representation HC Yi, ZH You, X Zhou, L Cheng, X Li, TH Jiang, ZH Chen Molecular Therapy Nucleic acids 17, 1-9, 2019 | 187 | 2019 |
Xing ChenJiangnan UniversityПотвърден имейл адрес: amss.ac.cn
