J. Shang

发表

Adaptive non‐local means on local principle neighborhood for noise/artifacts reduction in low‐dose CT images

Junyan Rong, Yuanke Zhang, Hongbing Lu, 2017, Medical physics.

EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis

Junying Zhang, Xiu-juan Lei, J. Shang, 2013, Genes & Genomics.

Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2019, IDMB.

Quantitative identification of differentially methylated loci based on relative entropy for matched case-control data.

Junliang Shang, Yuanyuan Zhang, Junying Zhang, 2013, Epigenomics.

Incorporating heuristic information into ant colony optimization for epistasis detection

Xiujuan Lei, Baodi Chen, Junliang Shang, 2012, Genes & Genomics.

An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions

Chun-Hou Zheng, Jin-Xing Liu, Yan Sun, 2015, BioMed research international.

Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes

Jin-Xing Liu, J. Shang, Qian Ding, 2019, Genes.

TLNPMD: Prediction of miRNA-Disease Associations Based on miRNA-Drug-Disease Three-Layer Heterogeneous Network

Xiangzhen Kong, Yuanyuan Zhang, J. Shang, 2022, Molecules.

MTHSA-DHEI: multitasking harmony search algorithm for detecting high-order SNP epistatic interactions

Z. Geem, Shouheng Tuo, J. Shang, 2022, Complex & Intelligent Systems.

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, Future Gener. Comput. Syst..

NMFNA: a non-negative matrix factorization network analysis method for identifying communities and characteristic genes from pancreatic cancer data

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2020 .

NMFNA: a non-negative matrix factorization network analysis method for identifying communities and characteristic genes from multi-type pancreatic cancer data

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2020 .

scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model

J. Shang, Xikui Liu, Yan Li, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals

Shasha Yuan, J. Shang, Juan Wang, 2022, Brain Sciences.

Multi-Objective Artificial Bee Colony Algorithm Based on Scale-Free Network for Epistasis Detection

J. Shang, Jinxing Liu, Y. Sun, 2022, Genes.

NEXGB: A Network Embedding Framework for Anticancer Drug Combination Prediction

J. Shang, Xikui Liu, Yan Li, 2022, International journal of molecular sciences.

MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations

J. Shang, Juan Wang, Jinxing Liu, 2022, Genes.

Gene Selection for Cancer Classification Using Sparse Representation Coefficient and MRMR Criterion

Junying Zhang, Junliang Shang, Xiguo Yuan, 2012 .

BLNIMDA: identifying miRNA-disease associations based on weighted bi-level network

J. Shang, Jinxing Liu, Y. Sun, 2022, BMC Genomics.

NESM: a network embedding method for tumor stratification by integrating multi-omics data

J. Shang, Xikui Liu, Yan Li, 2022, G3.

EpiReSIM: A Resampling Method of Epistatic Model without Marginal Effects Using Under-Determined System of Equations

Yuanyuan Zhang, J. Shang, Jinxing Liu, 2022, Genes.

Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2017, BMC Systems Biology.

L21-iPaD: An efficient method for drug-pathway association pairs inference

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions

Yuanke Zhang, Yan Lindsay Sun, Junying Zhang, 2014, Digit. Signal Process..

DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer

Xiangzhen Kong, Xuhui Zhu, J. Shang, 2023, BMC Bioinformatics.

Intelligent Computing Methodologies

Junliang Shang, Yingxia Sun, JinXing Liu, 2016, Lecture Notes in Computer Science.

NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers

Feng Li, Jin-Xing Liu, Junliang Shang, 2019, IEEE Access.

Differentially expressed genes selection via Laplacian regularized low-rank representation method

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, Comput. Biol. Chem..

scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types

J. Shang, Xikui Liu, Yan Li, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method

Feng Li, Shasha Yuan, Jin-Xing Liu, 2020, BMC Bioinformatics.

Bioinformatics analysis of potential common molecular pathogenesis assumed by intracranial aneurysm, aortic aneurysm and aortic dissection

J. Shang, Jinxing Liu, Guodong Liu, 2021 .

An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features

Chun-Hou Zheng, Jin-Xing Liu, Huiyu Li, 2018, ISBRA.

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis

Feng Liu, Chun-Hou Zheng, Jin-Xing Liu, 2017, Neurocomputing.

The earth mover’s distance and Bayesian linear discriminant analysis for epileptic seizure detection in scalp EEG

Zhen Ma, Qi Yuan, Xiangzhen Kong, 2018, Biomedical Engineering Letters.

Performance analysis of novel methods for detecting epistasis

Dan Liu, Yan Lindsay Sun, Junying Zhang, 2011, BMC Bioinformatics.

Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithms

J. Shang, Juan Wang, Jinxing Liu, 2022, Genes.

Comparative analysis of peripheral blood reveals transcriptomic adaptations to extreme environments on the Qinghai-Tibetan Plateau in the gray wolf (Canis lupus chanco)

J. Shang, H. Dou, Honghai Zhang, 2019, Organisms Diversity & Evolution.

KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT

J. Shang, Rong Zhu, Lingyun Dai, 2022, IEEE International Conference on Bioinformatics and Biomedicine.

Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning

J. Shang, Juan Wang, Jinxing Liu, 2023, IEEE journal of biomedical and health informatics.

Automatic detection for epileptic seizure using graph-regularized nonnegative matrix factorization and Bayesian linear discriminate analysis

Fangzhou Xu, Jin-Xing Liu, J. Shang, 2021, Biocybernetics and Biomedical Engineering.

Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data

Xiang-Zhen Kong, Jin-Xing Liu, Hang-Jin Yang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions

Qian Ding, Xuan Wang, Jin-Xing Liu, 2019, Comput. Biol. Chem..

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

Junfeng Xia, Junying Zhang, Chun-Hou Zheng, 2016, BMC Bioinformatics.

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes

C. Zheng, Jin-Xing Liu, Ying-Lian Gao, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data

Liying Yang, Zhe Li, Junbo Duan, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Comparative analysis of the blood transcriptomes between wolves and dogs

J. Shang, C. Zhao, H. Dou, 2018, Animal genetics.

Network analysis based on low-rank method for mining information on integrated data of multi-cancers

Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, 2019, Comput. Biol. Chem..

Non-negative low-rank representation based on dictionary learning for single-cell RNA-sequencing data analysis

J. Shang, Juan Wang, Jinxing Liu, 2022, BMC genomics.

KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.

Xiangzhen Kong, J. Shang, Juan Wang, 2023, Computational biology and chemistry.

CNLLRR: A Novel Low-Rank Representation Method for Single-cell RNA-seq Data Analysis

Hongmin Cai, Chun-Hou Zheng, Ying-Lian Gao, 2019, bioRxiv.

NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer

Jin-Xing Liu, Yuanyuan Zhang, J. Shang, 2021, Frontiers in Genetics.

DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection

Yue Hu, Jin-Xing Liu, Ying-Lian Gao, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Comparative Analysis of Unsupervised Protein Similarity Prediction Based on Graph Embedding

Yuanyuan Zhang, Shudong Wang, J. Shang, 2021, Frontiers in Genetics.

SINE: Second-Order Information Network Embedding

Shudong Wang, Yuanyuan Zhang, Ziqi Wang, 2020, IEEE Access.

MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection

Yan Lindsay Sun, Jin-Xing Liu, Junliang Shang, 2020, Symmetry.

Joint L2,p-norm and random walk graph constrained PCA for single-cell RNA-seq data.

J. Shang, Juan Wang, Jinxing Liu, 2023, Computer methods in biomechanics and biomedical engineering.

Identification of cancer driver modules by combining network functional and topology information

J. Shang, Juan Wang, Jinxing Liu, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis

Junying Zhang, Xiu-juan Lei, J. Shang, 2013, Genes & Genomics.

Multiscale part mutual information for quantifying nonlinear direct associations in networks

Jin-Xing Liu, Junliang Shang, Jing Wang, 2021, Bioinform..

Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2021, Int. J. Mach. Learn. Cybern..

Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification

Ying-Lian Gao, J. Shang, Jinxing Liu, 2021, International Journal of Machine Learning and Cybernetics.

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

Chun-Hou Zheng, Liang-Rui Ren, Ying-Lian Gao, 2020, BMC Bioinform..

SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions

Wenxiang Zhang, Jin-Xing Liu, Huiyu Li, 2016, ICIC.

Detection of SNP-SNP interaction based on the generalized particle swarm optimization algorithm

Yan Sun, Junliang Shang, Shengjun Li, 2014, 2014 8th International Conference on Systems Biology (ISB).

IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method

Wenwen Fan, Jin-Xing Liu, J. Shang, 2020, BMC Bioinformatics.

A new method for mining information of co-expression network based on multi-cancers integrated data

Jin-Xing Liu, Ying-Lian Gao, Junliang Shang, 2019, BMC Medical Genomics.

Co-differential Gene Selection and Clustering Based on Graph Regularized Multi-View NMF in Cancer Genomic Data

Rong Zhu, Jin-Xing Liu, Ying-Lian Gao, 2018, Genes.

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

Junying Zhang, C. Zheng, Jin-Xing Liu, 2016, BMC Bioinformatics.

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data

Ling-Yun Dai, Yong Xu, Jun-Liang Shang, 2019, BMC Bioinformatics.

A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2019, J. Comput. Biol..

Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders

Yuanke Zhang, Yun Fang, Yan Lindsay Sun, 2015, ICIC.

A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes

Jin-Xing Liu, Huiyu Li, Junliang Shang, 2016, ICIC.

The lower He-sea points playing a significant role in postoperative ileus in colorectal cancer treated with acupuncture: based on machine-learning

Wen Dan, J. Shang, Lin Shi, 2023, Frontiers in oncology.

Bioinformatics analysis reveals potential biomarkers associated with the occurrence of intracranial aneurysms

J. Shang, Jinxing Liu, Shuai Wang, 2022, Scientific Reports.

A New Model of Identifying Differentially Expressed Genes via Weighted Network Analysis Based on Dimensionality Reduction Method

Jin-Xing Liu, Ying-Lian Gao, Jin-Xing Liu, 2019 .

A compressed sensing based two-stage method for detecting epistatic interactions

Yan Lindsay Sun, Jin-Xing Liu, Junliang Shang, 2016, Int. J. Data Min. Bioinform..

Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data

J. Shang, Juan Wang, Jinxing Liu, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hypergraph regularized NMF by L2,1-norm for Clustering and Com-abnormal Expression Genes Selection

Jin-Xing Liu, Ying-Lian Gao, Na Yu, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes

Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network

Yi Yang, J. Shang, Jinxing Liu, 2023, BMC Genomics.

Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data

Juan Wang, Jin-Xing Liu, Ying-Lian Gao, 2019, Human Genomics.

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data

Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao, 2016, ICIC.

MDSN: A Module Detection Method for Identifying High-Order Epistatic Interactions

J. Shang, Jinxing Liu, Y. Sun, 2022, Genes.

scFED: Clustering Identifying Cell Types of scRNA-Seq Data Based on Feature Engineering Denoising

J. Shang, Juan Wang, Jinxing Liu, 2023, Interdisciplinary Sciences: Computational Life Sciences.

A network-based method for identifying cancer driver genes based on node control centrality

J. Shang, Xikui Liu, Yan Li, 2022, Experimental biology and medicine.

A Bayesian network based algorithm for gene regulatory network reconstruction

Bo Yang, Junying Zhang, Aimin Li, 2011, 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Network embedding framework for driver gene discovery by combining functional and structural information

J. Shang, Jinxing Liu, Feng Li, 2023, BMC Genomics.

Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition

Xiangzhen Kong, Fangzhou Xu, Shasha Yuan, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Comparative analysis of peripheral blood reveals transcriptomic adaptations to extreme environments on the Qinghai-Tibetan Plateau in the gray wolf (Canis lupus chanco)

J. Shang, H. Dou, Honghai Zhang, 2019, Organisms Diversity & Evolution.

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

C. Zheng, Jin-Xing Liu, J. Shang, 2017, BioData Mining.

A framework for scRNA-seq data clustering based on multi-view feature integration

J. Shang, Jinxing Liu, Feng Li, 2024, Biomedical Signal Processing and Control.

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis

C. Zheng, Jin-Xing Liu, J. Shang, 2023, IEEE Journal of Biomedical and Health Informatics.

NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification

J. Shang, Juan Wang, Jinxing Liu, 2023, IEEE Journal of Biomedical and Health Informatics.

scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization

Jin-Xing Liu, J. Shang, Juan Wang, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data

J. Shang, Feng Li, Lianlian Zhang, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data

J. Shang, Jinxing Liu, Y. Sun, 2023, IEEE Journal of Biomedical and Health Informatics.

HGSMDA: miRNA–Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss

J. Shang, Zhenghua Chang, Rong Zhu, 2024, Non-coding RNA.

iLncDA-RSN: identification of lncRNA-disease associations based on reliable similarity networks

J. Shang, M. Zhang, Jinxing Liu, 2023, Frontiers in genetics.

A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations

J. Shang, Jinxing Liu, Meng-Meng Yin, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation

Jin-Xing Liu, Ying-Lian Gao, Meng-Meng Yin, 2021, ISBRA.

A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation

J. Shang, Juan Wang, Shasha Yuan, 2024, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation

Ying-Lian Gao, J. Shang, Guo-Zheng Zhang, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).