Pu Wang

发表

Predict drug-protein interaction in cellular networking.

K. Chou, X. Xiao, Jian-Liang Min, 2013, Current topics in medicinal chemistry.

iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types.

K. Chou, X. Xiao, Wei-Zhong Lin, 2013, Analytical biochemistry.

iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints.

K. Chou, X. Xiao, Jian-Liang Min, 2013, Journal of theoretical biology.

iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking

K. Chou, X. Xiao, Jian-Liang Min, 2013, PloS one.

NRPred-FS: A Feature Selection based Two-level Predictor for NuclearReceptors

Xuan Xiao, Pu Wang, X. Xiao, 2014 .

Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image.

K. Chou, X. Xiao, Pu Wang, 2008, Journal of theoretical biology.

Predicting the quaternary structure attribute of a protein by hybridizing functional domain composition and pseudo amino acid composition

K. Chou, X. Xiao, Pu Wang, 2009 .

Swfoldrate: Predicting protein folding rates from amino acid sequence with sliding window method

X. Xiao, Zhi-cheng Wu, Wei-Zhong Lin, 2013, Proteins.

NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features

Kuo-Chen Chou, Xuan Xiao, Pu Wang, 2011, PloS one.

GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions.

Kuo-Chen Chou, Xuan Xiao, Pu Wang, 2011, Molecular bioSystems.

iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix

Kuo-Chen Chou, Xuan Xiao, Pu Wang, 2012, PloS one.

Recent progresses in identifying nuclear receptors and their families.

K. Chou, X. Xiao, Pu Wang, 2013, Current topics in medicinal chemistry.

An Analysis of Peer-Reviewed Scores and Impact Factors with Different Citation Time Windows: A Case Study of 28 Ophthalmologic Journals

Pu Wang, Xue-Li Liu, Shuang-Shuang Gai, 2015, PloS one.

Multi-label Learning for Predicting the Activities of Antimicrobial Peptides

Yunpeng Cai, X. Xiao, Pu Wang, 2017, Scientific Reports.

Multi-label Learning for Predicting the Activities of Antimicrobial Peptides

Yunpeng Cai, X. Xiao, Pu Wang, 2017, Scientific Reports.

i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification

Yuyu Yin, Pu Wang, Ruiquan Ge, 2022, Frontiers in Genetics.

Identifying GPCR-drug interaction based on wordbook learning from sequences

Wangren Qiu, Pu Wang, Xuan Xiao, 2020, BMC Bioinformatics.

Prediction of Chronic Diseases With Multi-Label Neural Network

Pu Wang, Ruiquan Ge, Renfeng Zhang, 2020, IEEE Access.

EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides

Pu Wang, Qing Wu, Ruiquan Ge, 2020, Frontiers in Genetics.

GPCR‐CA: A cellular automaton image approach for predicting G‐protein–coupled receptor functional classes

Kuo-Chen Chou, Pu Wang, Xuan Xiao, 2009, J. Comput. Chem..

Identifying GPCR-drug interaction based on wordbook learning from sequences

Wangren Qiu, Pu Wang, Xuan Xiao, 2020, BMC Bioinformatics.

MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer

Lei Lyu, Feiwei Qin, Pu Wang, 2021, Comput. Biol. Chem..

CRISPRdigger: detecting CRISPRs with better direct repeat annotations

Yunpeng Cai, Fengfeng Zhou, Pu Wang, 2016, Scientific Reports.

AMPpred: An On-Line Predictor Design for Automated AMP Recognition

Xuan Xiao, Pu Wang, Yu An Pan, 2012 .

ProFPred: a two-step protein function prediction model based on sequence and evolutionary information

Qiguang Miao, Pu Wang, Ruiquan Ge, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Author Correction: Multi-label Learning for Predicting the Activities of Antimicrobial Peptides

Yunpeng Cai, Pu Wang, Liming Liu, 2018, Scientific Reports.

hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression

Manli Zhou, Pu Wang, Fengfeng Zhou, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data

Guoqing Wang, Yunpeng Cai, Fengfeng Zhou, 2016, Interdisciplinary Sciences: Computational Life Sciences.

MF-EFP: Predicting Multi-Functional Enzymes Function Using Improved Hybrid Multi-Label Classifier

Gang Chen, Xuan Xiao, Wang-Ren Qiu, 2020, IEEE Access.

iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types.

K. Chou, Pu Wang, J. Jia, 2013, Analytical biochemistry.

Identifying GPCR-drug interaction based on wordbook learning from sequences

Xuan Xiao, Pu Wang, Xiaotong Huang, 2020, BMC Bioinformatics.

Quat-2L: a web-server for predicting protein quaternary structural attributes

Kuo-Chen Chou, Xuan Xiao, Pu Wang, 2011, Molecular Diversity.

Prediction of anticancer peptides with dictionary learning method

Pu Wang, Ruiquan Ge, Xiaomao Fan, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-Label Classifier Design for Predicting the Functional Types of Antimicrobial Peptides

Pu Wang, Xuan Xiao, Pu Wang, 2013 .