Ping Xuan
Geciteerd door
Geciteerd door
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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Artikelen 1–20