Wangren Qiu

发表

iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition.

K. Chou, X. Xiao, Zhaochun Xu, 2019, Genomics.

pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties.

K. Chou, X. Xiao, Wangren Qiu, 2016, Analytical biochemistry.

PNP-DIPseAAC: Prediction of nucleosome position based on the DNA sequence information

X. Xiao, Wangren Qiu, Zi Liu, 2015, 2015 34th Chinese Control Conference (CCC).

iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition.

K. Chou, X. Xiao, Wangren Qiu, 2015, Analytical biochemistry.

Identifying Pupylation Proteins and Sites by Incorporating Multiple Methods

Wangren Qiu, Meng-Yue Guan, Qian-Kun Wang, 2022, Frontiers in Endocrinology.

iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier.

K. Chou, X. Xiao, Zhaochun Xu, 2017, Genomics.

iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model

K. Chou, X. Xiao, Wangren Qiu, 2015, Journal of biomolecular structure & dynamics.

iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach

K. Chou, X. Xiao, Wangren Qiu, 2014, BioMed research international.

iPhos‐PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory

Dong Xu, K. Chou, X. Xiao, 2017, Molecular informatics.

iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

K. Chou, X. Xiao, Wangren Qiu, 2014, International journal of molecular sciences.

iAI-DSAE: A Computational Method for Adenosine to Inosine Editing Site Prediction

X. Xiao, Zhaochun Xu, Wangren Qiu, 2019, Letters in Organic Chemistry.

Using AdaboostSVM to Predict the GPCR Functional Classes

X. Xiao, Wangren Qiu, Zhen-Yu Zhang, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Using adaptive K-nearest neighbor algorithm and cellular automata images to predicting G-protein-coupled receptor classes

X. Xiao, Wangren Qiu, 2010, Interdisciplinary Sciences: Computational Life Sciences.

iRNAD: a computational tool for identifying D modification sites in RNA sequence

Wei Chen, Hao Lin, Wang-Ren Qiu, 2019, Bioinform..

DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method

Wangren Qiu, Jie Zheng, Xuan Xiao, 2022, Frontiers in Genetics.

Predicting the Lung Adenocarcinoma and Its Biomarkers by Integrating Gene Expression and DNA Methylation Data

Wangren Qiu, Wei-Zhong Lin, Shun-fa Huang, 2022, Frontiers in Genetics.

pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm

Wangren Qiu, Jianhua Jia, Genqiang Wu, 2022, Frontiers in Cell and Developmental Biology.

pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module

Wangren Qiu, Jianhua Jia, Genqiang Wu, 2022, BMC Bioinformatics.

iCataly-PseAAC: Identification of Enzymes Catalytic Sites Using Sequence Evolution Information with Grey Model GM (2,1)

Wangren Qiu, Zi Liu, Xuan Xiao, 2015, The Journal of Membrane Biology.

DeepDN_iGlu: prediction of lysine glutarylation sites based on attention residual learning method and DenseNet.

Wangren Qiu, Jianhua Jia, Genqiang Wu, 2023, Mathematical biosciences and engineering : MBE.

HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

Wangren Qiu, Xiang Cheng, Xuan Xiao, 2022, BMC bioinformatics.

Identifying GPCR-drug interaction based on wordbook learning from sequences

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

Identifying Acetylation Protein by Fusing Its PseAAC and Functional Domain Annotation

Xuan Xiao, Wang-Ren Qiu, Zhao-Chun Xu, 2019, Front. Bioeng. Biotechnol..

Computational Prediction of Ubiquitination Proteins Using Evolutionary Profiles and Functional Domain Annotation

Wang-Ren Qiu, Dong Xu, Xuan Xiao, 2019, Current genomics.

Using Cellular Automata to Simulate Domain Evolution in Proteins

Xuan Xiao, Guang-Fu Xue, Biljana Stamatovic, 2020, Frontiers in Genetics.

iPTM-mLys: identifying multiple lysine PTM sites and their different types

Kuo-Chen Chou, Wangren Qiu, Xuan Xiao, 2016, Bioinform..

iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC.

Kuo-Chen Chou, Wangren Qiu, Xuan Xiao, 2019, Journal of theoretical biology.

MusiteDeep: a deep‐learning framework for general and kinase‐specific phosphorylation site prediction

Yanchun Liang, Trupti Joshi, Dong Xu, 2017, Bioinform..

Identify and analysis crotonylation sites in histone by using support vector machines

Hua Tang, Jian Huang, Hao Lin, 2017, Artif. Intell. Medicine.

iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC

Kuo-Chen Chou, Wei Chen, Hao Lin, 2018, International journal of biological sciences.

idse-HE: Hybrid embedding graph neural network for drug side effects prediction

Wangren Qiu, Xuan Xiao, Weizhong Lin, 2022, J. Biomed. Informatics.

MSEDDI: Multi-Scale Embedding for Predicting Drug—Drug Interaction Events

Zhaochun Xu, Wangren Qiu, Xuan Xiao, 2023, International journal of molecular sciences.

iDHSs-PseTNC: Identifying DNase I Hypersensitive Sites with Pseuo Trinucleotide Component by Deep Sparse Auto-encoder

Xuan Xiao, Wang-Ren Qiu, Zhao-Chun Xu, 2017 .

Identifying GPCR-drug interaction based on wordbook learning from sequences

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

iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC

Kuo-Chen Chou, Xuan Xiao, Wang-Ren Qiu, 2016, Oncotarget.

iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier

Kuo-Chen Chou, Xuan Xiao, Wang-Ren Qiu, 2016, Oncotarget.

iSS-PC: Identifying Splicing Sites via Physical-Chemical Properties Using Deep Sparse Auto-Encoder

Zhaochun Xu, Wangren Qiu, Peng Wang, 2017, Scientific Reports.

iCDI-W2vCom: Identifying the Ion Channel–Drug Interaction in Cellular Networking Based on word2vec and node2vec

Wangren Qiu, Jie Zheng, Xuan Xiao, 2021, Frontiers in Genetics.

Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning

Zhaochun Xu, Wangren Qiu, Xuan Xiao, 2022, International journal of molecular sciences.

iRSpotH-TNCPseAAC: Identifying Recombination Spots in Human by Using Pseudo Trinucleotide Composition With an Ensemble of Support Vector Machine Classifiers

Xuan Xiao, Wang-Ren Qiu, Zhao-Chun Xu, 2017 .

HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

Wangren Qiu, Xiang Cheng, Xuan Xiao, 2022, BMC Bioinformatics.

DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2′-O-Dimethyladenosine Sites in RNA Sequences

Zhaochun Xu, Wangren Qiu, Wei Su, 2022, International journal of molecular sciences.

Multi‐iPPseEvo: A Multi‐label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′s General PseAAC via Grey System Theory

Xuan Xiao, Wangren Qiu, Bi-Qian Sun, 2017, Molecular informatics.

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

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

iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition

Kuo-Chen Chou, Xuan Xiao, Wang-Ren Qiu, 2017, Oncotarget.

iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier.

Kuo-Chen Chou, Xiang Cheng, Xuan Xiao, 2017, Medicinal chemistry (Shariqah (United Arab Emirates)).

Identifying TME signatures for cervical cancer prognosis based on GEO and TCGA databases.

Zhaochun Xu, Wangren Qiu, Wang-Ke Yu, 2023, Heliyon.

EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooks

Hao Lin, Wangren Qiu, Zhe Lv, 2021, Computational and structural biotechnology journal.

PAI-SAE: Predicting Adenosine To Inosine Editing Sites Based On Hybrid Features By Using Spare Auto-Encoder

Peng Wang, Xuan Xiao, Wang-Ren Qiu, 2018, IOP Conference Series: Earth and Environmental Science.

Use Chou’s 5-Steps Rule to Predict Remote Homology Proteins by Merging Grey Incidence Analysis and Domain Similarity Analysis

Kuo-Chen Chou, Wei-Zhong Lin, Xuan Xiao, 2020, Natural Science.

Identifying GPCR-drug interaction based on wordbook learning from sequences

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

Predicting S-nitrosylation proteins and sites by fusing multiple features.

Wangren Qiu, J. Jia, Meng-Yue Guan, 2021, Mathematical biosciences and engineering : MBE.

iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition.

K. Chou, Wangren Qiu, Zi Liu, 2015, Analytical biochemistry.

iPTM-mLys: identifying multiple lysine PTM sites and their different types

K. Chou, Zhaochun Xu, Wangren Qiu, 2016, Bioinform..