Pufeng Du
Pufeng Du
Tianjin University; Tsinghua University; City University of Hong Kong
Verified email at - Homepage
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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
Performance measures in evaluating machine learning based bioinformatics predictors for classifications
Y Jiao, P Du
Quantitative Biology 4, 320-330, 2016
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
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
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
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
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
Recent progress in predicting protein sub-subcellular locations
P Du, T Li, X Wang
Expert Review of Proteomics 8 (3), 391-404, 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
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
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
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
Predicting multisite protein subcellular locations: progress and challenges
P Du, C Xu
Expert review of proteomics 10 (3), 227-237, 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
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
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
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
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
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
INPUT: An intelligent network pharmacology platform unique for traditional Chinese medicine
X Li, Q Tang, F Meng, P Du, W Chen
Computational and Structural Biotechnology Journal 20, 1345-1351, 2022
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