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Pufeng Du
Pufeng Du
Tianjin University; Tsinghua University; City University of Hong Kong
Dirección de correo verificada de tju.edu.cn - Página principal
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Año
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
3272012
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
2982014
Performance measures in evaluating machine learning based bioinformatics predictors for classifications
Y Jiao, P Du
Quantitative Biology 4, 320-330, 2016
2742016
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
2062006
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
1102020
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
762009
Recent progress in predicting protein sub-subcellular locations
P Du, T Li, X Wang
Expert Review of Proteomics 8 (3), 391-404, 2011
572011
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
542016
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
542010
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
522021
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
492008
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
472017
Predicting multisite protein subcellular locations: progress and challenges
P Du, C Xu
Expert review of proteomics 10 (3), 227-237, 2013
472013
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
422020
SubMito-PSPCP: predicting protein submitochondrial locations by hybridizing positional specific physicochemical properties with pseudoamino acid compositions
P Du, Y Yu
BioMed research international 2013, 2013
382013
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
372016
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
342018
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
342007
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
322014
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
322009
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20