Jijun Tang

发表

Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families

Zongyu Wang, Wenying He, Jijun Tang, 2020, J. Chem. Inf. Model..

Path-Finding with Motion Constraints in Real Time Strategies

Jijun Tang, Jeremiah J. Shepherd, Jason O’Kane, 2009 .

Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

Fei Guo, Limin Jiang, Jijun Tang, 2019, Front. Genet..

An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides

Jijun Tang, Jinhao Zhang, Shuhao Li, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Label-Guided Graph Exploration with Adjustable Ratio of Labels

Yi Zhang, Jijun Tang, Meng Zhang, 2012, Int. J. Found. Comput. Sci..

Identifying protein-protein interface via a novel multi-scale local sequence and structural representation

Dan Wang, Fei Guo, Jijun Tang, 2019, BMC Bioinformatics.

Method for partitioning large system models when using latency insertion method to speed network solution

Jian Shi, Blake Langland, Roger A. Dougal, 2009 .

Critical evaluation of web-based prediction tools for human protein subcellular localization

Fei Guo, Jijun Tang, Quan Zou, 2019, Briefings Bioinform..

Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information

Fei Guo, Jijun Tang, Yijie Ding, 2019, ICIC.

DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides

Jijun Tang, Fei Guo, Jiawei Li, 2020, IEEE Journal of Biomedical and Health Informatics.

CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction

Yu Dai, Fei Guo, Jijun Tang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis

Jijun Tang, Fei Guo, Zehua Zhang, 2020, IEEE Journal of Biomedical and Health Informatics.

High Performance Computing Collaboratory

Jijun Tang, 2013 .

Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions

Fei Guo, Jijun Tang, Yijie Ding, 2019, Front. Genet..

Optimally applying latency insertion method in large system models

Roger A. Dougal, Yiwei Zhang, Jijun Tang, 2011 .

The simulation tool for mission-optimized system design

Roger A. Dougal, Jijun Tang, Tianlei Zhang, 2011 .

AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides

Jijun Tang, Fei Guo, Lianrong Pu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of human microRNA-disease association via hypergraph embedded bipartite local model

Limin Jiang, Jijun Tang, Yijie Ding, 2020, Comput. Biol. Chem..

MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description

Jijun Tang, Fei Guo, Li Peng, 2020, Current Bioinformatics.

Identification of drug–target interactions via fuzzy bipartite local model

Fei Guo, Jijun Tang, Yijie Ding, 2019, Neural Computing and Applications.

A flexible approach to reconstruct the genomic spatial structure by the genetic algorithm

Jijun Tang, Yan Zhang, William Hoskins, 2018 .

A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment

Yan Yu, Jijun Tang, Fei Guo, 2020, BioMed research international.

Proceedings of the 12th international conference on Algorithms in Bioinformatics

Jijun Tang, Ben Raphael, 2012 .

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information

Cong Shen, Fei Guo, Limin Jiang, 2019, IEEE Access.

FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule

Li Peng, Fei Guo, Jijun Tang, 2019, International journal of molecular sciences.

Algorithms in Bioinformatics: 12th International Workshop, WABI 2012, Ljubljana, Slovenia, September 10-12, 2012

Benjamin J. Raphael, Jijun Tang, Ben Raphael, 2012 .

Identification of Residue-Residue Contacts Using a Novel Coevolution- Based Method

Jijun Tang, Fei Guo, Yijie Ding, 2016 .

HiCPlus: Resolution Enhancement of Hi-C interaction heatmap

Jijun Tang, Yan Zhang, Ming Hu, 2017, bioRxiv.

An Ameliorated Prediction of Drug–Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features

Xinying Xu, Jijun Tang, Yijie Ding, 2017, International journal of molecular sciences.

Using Supervised Machine Learning Algorithms to Screen Down Syndrome and Identify the Critical Protein Factors

Xinying Xu, Bing Feng, Jijun Tang, 2017 .

Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion

Hao Wang, Jijun Tang, Fei Guo, 2020, Neurocomputing.

Algorithms in Bioinformatics

Benjamin J. Raphael, Jijun Tang, Ben Raphael, 2012, Lecture Notes in Computer Science.

Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

Jijun Tang, Fei Guo, Yijie Ding, 2020, Knowl. Based Syst..

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

Fei Guo, Jijun Tang, Yijie Ding, 2019, IEEE Journal of Biomedical and Health Informatics.

Fei Guo, Limin Jiang, Jijun Tang, 2018, Front. Genet..

Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation

Jijun Tang, Fei Guo, Yijie Ding, 2020, Appl. Soft Comput..

Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm

Jiandong Wang, Wanliang Wang, Gaofeng Pan, 2020, BMC Bioinform..

New basic linear algebra methods for simulation on GPUs

Jian Shi, Blake Langland, Roger A. Dougal, 2011 .

Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network

Jie Song, Jijun Tang, Jiawei Li, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

In vitro selection of DNA aptamer against abrin toxin and aptamer-based abrin direct detection.

Jijun Tang, Lei Guo, Jianwei Xie, 2007, Biosensors & bioelectronics.

The DNA aptamers that specifically recognize ricin toxin are selected by two in vitro selection methods

Jijun Tang, Jijun Tang, Jianwei Xie, 2006, Electrophoresis.

High‐sensitive determination of human α‐thrombin by its 29‐mer aptamer in affinity probe capillary electrophoresis

Jijun Tang, Lei Guo, Jijun Tang, 2008, Electrophoresis.