Xiaoyong Pan
Cited by
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The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier
Z Cao*, X Pan*, Y Yang*, Y Huang, HB Shen
Bioinformatics, 2018
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
X Pan, P Rijnbeek, J Yan, HB Shen
BMC Genomics 19, 511, 2018
Large-Scale prediction of human protein− protein interactions from amino acid sequence based on latent topic features
XY Pan, YN Zhang, HB Shen
Journal of proteome research 9 (10), 4992-5001, 2010
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach
X Pan, HB Shen
BMC bioinformatics 18 (1), 1-14, 2017
Transcriptomic landscape of lncRNAs in inflammatory bowel disease
AH Mirza, CHB Berthelsen, SE Seemann, X Pan, KS Frederiksen, ...
Genome medicine 7 (1), 1-22, 2015
Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks
X Pan, HB Shen
Bioinformatics 34 (20), 3427-3436, 2018
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
X Pan, YX Fan, J Yan, HB Shen
BMC Genomics 17 (1), 582, 2016
Gene expression differences among different MSI statuses in colorectal cancer
L Chen*, X Pan*, XH Hu*, YH Zhang, SP Wang, T Huang, YD Cai
International journal of cancer, 2018
Robust prediction of B-factor profile from sequence using two-stage SVR based on random forest feature selection
XY Pan, HB Shen
Protein and peptide letters 16 (12), 1447-1454, 2009
PredcircRNA: computational classification of circular RNA from other long non-coding RNA using hybrid features
X Pan, K Xiong
Molecular Biosystems 11 (8), 2219-2226, 2015
RAIN: RNA-protein Association and Interaction Networks.
JG A Junge, JC Refsgaard, C Garde, X Pan, A Santos, F Alkan, C Anthon, C von ...
Database: the journal of biological databases and curation 2017, 2017
Adaptive compressive learning for prediction of protein–protein interactions from primary sequence
YN Zhang, XY Pan, Y Huang, HB Shen
Journal of theoretical biology 283 (1), 44-52, 2011
Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network
X Pan, HB Shen
Neurocomputing 305, 51-58, 2018
Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection
L Chen, YH Zhang, G Huang, X Pan, SP Wang, T Huang, YD Cai
Molecular genetics and genomics 293 (1), 137-149, 2018
Identification of the copy number variant biomarkers for breast cancer subtypes
X Pan, XH Hu, YH Zhang, L Chen, LC Zhu, SB Wan, T Huang, YD Cai
Molecular Genetics and Genomics 294 (1), 95-110, 2019
Tissue expression difference between mRNAs and lncRNAs
L Chen, YH Zhang, X Pan, M Liu, S Wang, T Huang, YD Cai
International journal of molecular sciences 19 (11), 3416, 2018
Recent methodology progress of deep learning for RNA–protein interaction prediction
X Pan, Y Yang, CQ Xia, AH Mirza, HB Shen
Wiley Interdisciplinary Reviews: RNA 10 (6), e1544, 2019
Towards better accuracy for missing value estimation of epistatic miniarray profiling data by a novel ensemble approach
XY Pan, Y Tian, Y Huang, HB Shen
Genomics 97 (5), 257-264, 2011
CRIP: predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks
K Zhang*, X Pan*, Y Yang, HB Shen
RNA, rna. 070565.119, 2019
Identifying patients with atrioventricular septal defect in down syndrome populations by using self-normalizing neural networks and feature selection
X Pan, X Hu, YH Zhang, K Feng, SP Wang, L Chen, T Huang, YD Cai
Genes 9 (4), 208, 2018
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