Junliang Shang
Orcid: 0000-0002-8488-2228
According to our database1,
Junliang Shang
authored at least 81 papers
between 2011 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, April, 2024
2023
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification.
IEEE J. Biomed. Health Informatics, October, 2023
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations.
J. Comput. Biol., August, 2023
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization.
J. Comput. Biol., August, 2023
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection.
J. Comput. Biol., August, 2023
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
IEEE J. Biomed. Health Informatics, June, 2023
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification.
Comput. Biol. Chem., June, 2023
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
IEEE J. Biomed. Health Informatics, May, 2023
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning.
IEEE J. Biomed. Health Informatics, March, 2023
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.
BMC Bioinform., 2023
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.
IEEE J. Biomed. Health Informatics, 2022
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification.
Int. J. Mach. Learn. Cybern., 2022
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.
Future Gener. Comput. Syst., 2022
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes.
Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification.
Proceedings of the Intelligent Computing Theories and Application, 2022
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Identification of cancer driver modules by combining network functional and topology information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection.
Symmetry, 2021
Sparse robust graph-regularized non-negative matrix factorization based on correntropy.
J. Bioinform. Comput. Biol., 2021
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis.
Int. J. Neural Syst., 2021
Multiscale part mutual information for quantifying nonlinear direct associations in networks.
Bioinform., 2021
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
2020
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
BMC Bioinform., 2020
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.
BMC Bioinform., 2020
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method.
BMC Bioinform., December, 2019
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.
J. Comput. Biol., 2019
Network analysis based on low-rank method for mining information on integrated data of multi-cancers.
Comput. Biol. Chem., 2019
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions.
Comput. Biol. Chem., 2019
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.
BMC Bioinform., 2019
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions.
IEEE Access, 2019
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers.
IEEE Access, 2019
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis.
Proceedings of the Recent Advances in Data Science, 2019
2018
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features.
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
A joint-L<sub>2, 1</sub>-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.
Neurocomputing, 2017
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.
BMC Syst. Biol., 2017
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.
BioData Min., 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Int. J. Data Min. Bioinform., 2016
Differentially expressed genes selection via Laplacian regularized low-rank representation method.
Comput. Biol. Chem., 2016
CINOEDV: a co-information based method for detecting and visualizing <i>n</i>-order epistatic interactions.
BMC Bioinform., 2016
SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2016
An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes.
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions.
Digit. Signal Process., 2014
2011