Ping Xuan
Ping Xuan
Heilongjiang University
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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
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
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
BP neural network could help improve pre-miRNA identification in various species
L Jiang, J Zhang, P Xuan, Q Zou
BioMed research international 2016, 2016
Genetic algorithm-based efficient feature selection for classification of pre-miRNAs
P Xuan, MZ Guo, J Wang, CY Wang, XY Liu, Y Liu
Genetics and molecular research 10 (2), 588-603, 2011
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
Accurate identification of cancerlectins through hybrid machine learning technology
J Zhang, Y Ju, H Lu, P Xuan, Q Zou
International journal of genomics 2016, 2016
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
Identification of multi-functional enzyme with multi-label classifier
Y Che, Y Ju, P Xuan, R Long, F Xing
PLoS One 11 (4), e0153503, 2016
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, 2016
Mining disease genes using integrated protein–protein interaction and gene–gene co-regulation information
J Li, L Wang, M Guo, R Zhang, Q Dai, X Liu, C Wang, Z Teng, P Xuan, ...
FEBS open bio 5, 251-256, 2015
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
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
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
Inferring disease-associated microRNAs in heterogeneous networks with node attributes
P Xuan, T Shen, X Wang, T Zhang, W Zhang
IEEE/ACM transactions on computational biology and bioinformatics, 2018
Prediction of disease-related microRNAs by incorporating functional similarity and common association information
K Han, P Xuan, J Ding, ZJ Zhao, L Hui, YL Zhong
Genetics and Molecular Research 13 (1), 2009-2019, 2014
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
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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