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 | 574 | 2017 |
MicroRNAs and complex diseases: from experimental results to computational models XCDXQZ Zhu-Hong Briefings in Bioinformatics, 1-10, 2017 | 522* | 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 | 396 | 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 | 387 | 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 | 325 | 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 | 321 | 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 | 310 | 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 | 300 | 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 | 293 | 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 | 250 | 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 | 238 | 2010 |
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 | 227 | 2017 |
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 | 225 | 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 | 219 | 2018 |
MCMDA: Matrix completion for MiRNA-disease association prediction JQ Li, ZH Rong, X Chen, GY Yan, ZH You Oncotarget 8 (13), 21187, 2017 | 197 | 2017 |
IRWRLDA: improved random walk with restart for lncRNA-disease association prediction X Chen, ZH You, GY Yan, DW Gong Oncotarget 7 (36), 57919, 2016 | 197 | 2016 |
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 | 189 | 2018 |
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 | 179 | 2015 |
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding YA Huang, ZH You, X Chen, K Chan, X Luo BMC Bioinformatics 17 (1), 184, 2016 | 174* | 2016 |
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 | 164 | 2019 |