Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors P Xuan, K Han, M Guo, Y Guo, J Li, J Ding, Y Liu, Q Dai, J Li, Z Teng, ... PloS one 8 (8), e70204, 2013 | 381 | 2013 |
Prediction of potential disease-associated microRNAs based on random walk P Xuan, K Han, Y Guo, J Li, X Li, Y Zhong, Z Zhang, J Ding Bioinformatics 31 (11), 1805-1815, 2015 | 200 | 2015 |
Measuring gene functional similarity based on group-wise comparison of GO terms Z Teng, M Guo, X Liu, Q Dai, C Wang, P Xuan Bioinformatics 29 (11), 1424-1432, 2013 | 110 | 2013 |
Graph convolutional network and convolutional neural network based method for predicting lncRNA-disease associations P Xuan, S Pan, T Zhang, Y Liu, H Sun Cells 8 (9), 1012, 2019 | 108 | 2019 |
PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs P Xuan, M Guo, X Liu, Y Huang, W Li, Y Huang Bioinformatics 27 (10), 1368-1376, 2011 | 97 | 2011 |
Gradient boosting decision tree-based method for predicting interactions between target genes and drugs P Xuan, C Sun, T Zhang, Y Ye, T Shen, Y Dong Frontiers in genetics 10, 459, 2019 | 88 | 2019 |
MaturePred: efficient identification of microRNAs within novel plant pre-miRNAs P Xuan, M Guo, Y Huang, W Li, Y Huang PloS one 6 (11), e27422, 2011 | 80 | 2011 |
Drug repositioning through integration of prior knowledge and projections of drugs and diseases P Xuan, Y Cao, T Zhang, X Wang, S Pan, T Shen Bioinformatics 35 (20), 4108-4119, 2019 | 77 | 2019 |
Dual convolutional neural networks with attention mechanisms based method for predicting disease-related lncRNA genes P Xuan, Y Cao, T Zhang, R Kong, Z Zhang Frontiers in genetics 10, 416, 2019 | 65 | 2019 |
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network Y Zhong, P Xuan, X Wang, T Zhang, J Li, Y Liu, W Zhang Bioinformatics 34 (2), 267-277, 2018 | 56 | 2018 |
Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions C Sun, P Xuan, T Zhang, Y Ye IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2020 | 55 | 2020 |
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction N Sheng, H Cui, T Zhang, P Xuan Briefings in Bioinformatics 22 (3), bbaa067, 2021 | 53 | 2021 |
BP Neural Network Could Help Improve Pre‐miRNA Identification in Various Species L Jiang, J Zhang, P Xuan, Q Zou BioMed research international 2016 (1), 9565689, 2016 | 52 | 2016 |
Graph convolutional autoencoder and fully-connected autoencoder with attention mechanism based method for predicting drug-disease associations P Xuan, L Gao, N Sheng, T Zhang, T Nakaguchi IEEE Journal of Biomedical and Health Informatics 25 (5), 1793-1804, 2020 | 49 | 2020 |
Inferring the disease-associated miRNAs based on network representation learning and convolutional neural networks P Xuan, H Sun, X Wang, T Zhang, S Pan International journal of molecular sciences 20 (15), 3648, 2019 | 48 | 2019 |
In Silico Prediction of Gamma‐Aminobutyric Acid Type‐A Receptors Using Novel Machine‐Learning‐Based SVM and GBDT Approaches Z Liao, Y Huang, X Yue, H Lu, P Xuan, Y Ju BioMed research international 2016 (1), 2375268, 2016 | 46 | 2016 |
Convolutional neural network and bidirectional long short-term memory-based method for predicting drug–disease associations P Xuan, Y Ye, T Zhang, L Zhao, C Sun Cells 8 (7), 705, 2019 | 42 | 2019 |
Genetic algorithm-based efficient feature selection for classification of pre-miRNAs P Xuan, MZ Guo, J Wang, CY Wang, XY Liu, Y Liu Genet Mol Res 10 (2), 588-603, 2011 | 41 | 2011 |
CNNDLP: a method based on convolutional autoencoder and convolutional neural network with adjacent edge attention for predicting lncRNA–disease associations P Xuan, N Sheng, T Zhang, Y Liu, Y Guo International journal of molecular sciences 20 (17), 4260, 2019 | 38 | 2019 |
Dual convolutional neural network based method for predicting disease-related miRNAs P Xuan, Y Dong, Y Guo, T Zhang, Y Liu International journal of molecular sciences 19 (12), 3732, 2018 | 35 | 2018 |