| PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions P Du, X Wang, C Xu, Y Gao Analytical biochemistry 425 (2), 117-119, 2012 | 328 | 2012 |
| PseAAC-General: fast building various modes of general form of Chou’s pseudo-amino acid composition for large-scale protein datasets P Du, S Gu, Y Jiao International journal of molecular sciences 15 (3), 3495-3506, 2014 | 299 | 2014 |
| Performance measures in evaluating machine learning based bioinformatics predictors for classifications Y Jiao, P Du Quantitative Biology 4, 320-330, 2016 | 296 | 2016 |
| Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence P Du, Y Li BMC bioinformatics 7, 1-8, 2006 | 204 | 2006 |
| CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning X Qiang, C Zhou, X Ye, P Du, R Su, L Wei Briefings in Bioinformatics 21 (1), 11-23, 2020 | 111 | 2020 |
| SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic K-nearest neighbor (ET-KNN) algorithm P Du, S Cao, Y Li Journal of theoretical biology 261 (2), 330-335, 2009 | 75 | 2009 |
| NPI-GNN: Predicting ncRNA–protein interactions with deep graph neural networks ZA Shen, T Luo, YK Zhou, H Yu, PF Du Briefings in bioinformatics 22 (5), bbab051, 2021 | 56 | 2021 |
| Recent progress in predicting protein sub-subcellular locations P Du, T Li, X Wang Expert Review of Proteomics 8 (3), 391-404, 2011 | 56 | 2011 |
| Identifying human kinase-specific protein phosphorylation sites by integrating heterogeneous information from various sources T Li, P Du, N Xu PloS one 5 (11), e15411, 2010 | 54 | 2010 |
| Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection YS Jiao, PF Du Journal of theoretical biology 402, 38-44, 2016 | 53 | 2016 |
| Prediction of C-to-U RNA editing sites in plant mitochondria using both biochemical and evolutionary information P Du, Y Li Journal of Theoretical Biology 253 (3), 579-586, 2008 | 50 | 2008 |
| Predicting protein submitochondrial locations by incorporating the positional-specific physicochemical properties into Chou's general pseudo-amino acid compositions YS Jiao, PF Du Journal of theoretical biology 416, 81-87, 2017 | 47 | 2017 |
| Predicting multisite protein subcellular locations: progress and challenges P Du, C Xu Expert review of proteomics 10 (3), 227-237, 2013 | 47 | 2013 |
| im6A-TS-CNN: identifying the N6-methyladenine site in multiple tissues by using the convolutional neural network K Liu, L Cao, P Du, W Chen Molecular Therapy-Nucleic Acids 21, 1044-1049, 2020 | 44 | 2020 |
| SubMito‐PSPCP: Predicting Protein Submitochondrial Locations by Hybridizing Positional Specific Physicochemical Properties with Pseudoamino Acid Compositions P Du, Y Yu BioMed research international 2013 (1), 263829, 2013 | 38 | 2013 |
| Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties YS Jiao, PF Du Journal of theoretical biology 391, 35-42, 2016 | 37 | 2016 |
| A brief review on software tools in generating Chou's pseudo-factor representations for all types of biological sequences W Zhao, L Wang, TX Zhang, ZN Zhao, PF Du Protein and Peptide Letters 25 (9), 822-829, 2018 | 34 | 2018 |
| dbRES: a web-oriented database for annotated RNA editing sites T He, P Du, Y Li Nucleic acids research 35 (suppl_1), D141-D144, 2007 | 34 | 2007 |
| Predicting human protein subcellular locations by the ensemble of multiple predictors via protein-protein interaction network with edge clustering coefficients P Du, L Wang PloS one 9 (1), e86879, 2014 | 32 | 2014 |
| CURE-Chloroplast: A chloroplast C-to-U RNA editing predictor for seed plants P Du, L Jia, Y Li BMC bioinformatics 10, 1-8, 2009 | 32 | 2009 |
Chen WeiChengdu University of Traditional Chinese Medicine在 heuu.edu.cn 的电子邮件经过验证
