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2020 – today
- 2024
[j50]Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang:
A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. 89: 105785 (2024)- [j49]Cui-Na Jiao
, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang, Jin-Xing Liu:
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. Eng. Appl. Artif. Intell. 130: 107782 (2024) - [j48]Qianqian Ren, Lianlian Zhang, Shaoyi Liu, Jin-Xing Liu, Junliang Shang, Xiyu Liu:
A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering. Int. J. Neural Syst. 34(10): 2450050:1-2450050:15 (2024) - [j47]Yuanyuan Zhang, Zengqian Deng, Xiaoyu Xu, Yinfei Feng, Junliang Shang:
Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review. J. Chem. Inf. Model. 64(7): 2158-2173 (2024) - [j46]Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren:
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. 12(2): 173-181 (2024) - [j45]Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu:
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. Quant. Biol. 12(2): 197-204 (2024) - [j44]Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang:
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 360-371 (2024) - [j43]Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang:
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics 28(4): 2037-2046 (2024) - [j42]Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu:
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. IEEE J. Biomed. Health Informatics 28(5): 3029-3041 (2024) - [j41]Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu:
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. IEEE J. Biomed. Health Informatics 28(9): 5638-5648 (2024) - [j40]Yi Yang, Yan Sun, Feng Li, Boxin Guan, Jin-Xing Liu, Junliang Shang:
MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15701-15709 (2024) - [c45]Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li:
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) 2024: 135-146 - [c44]Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan:
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) 2024: 370-379 - [c43]Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) 2024: 327-338 - 2023
- [j39]Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu:
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. 24(1): 13 (2023) - [j38]Lin-Ping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang:
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. 104: 107862 (2023) - [j37]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. 30(8): 848-860 (2023) - [j36]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. 30(8): 889-899 (2023) - [j35]Ying Wang, Jin-Xing Liu, Juan Wang, Junliang Shang, Ying-Lian Gao:
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. J. Comput. Biol. 30(8): 937-947 (2023) - [j34]Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu:
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 52-60 (2023) - [j33]Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng:
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 534-543 (2023) - [j32]Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou:
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics 27(3): 1386-1396 (2023) - [j31]Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27(5): 2575-2584 (2023) - [j30]Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun:
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics 27(6): 2968-2979 (2023) - [j29]Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang:
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 27(10): 5199-5209 (2023) - [c42]Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM 2023: 233-236 - [c41]Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM 2023: 2769-2776 - [c40]Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu:
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. BIBM 2023: 3200-3207 - [c39]Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li:
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM 2023: 3241-3248 - [c38]Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun:
Crow Search Algorithm Based on Information Interaction for Epistasis Detection. BIBM 2023: 3249-3256 - [c37]Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li:
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) 2023: 268-278 - [c36]Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan:
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) 2023: 272-282 - [c35]Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan:
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) 2023: 308-319 - [c34]Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang:
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA 2023: 190-201 - 2022
- [j28]Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu:
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134: 247-255 (2022) - [j27]Liang-Rui Ren, Ying-Lian Gao, Junliang Shang, Jin-Xing Liu:
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification. Int. J. Mach. Learn. Cybern. 13(1): 199-216 (2022) - [j26]Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng:
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics 26(4): 1872-1882 (2022) - [c33]Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan:
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. BIBM 2022: 549-554 - [c32]Sheng-Nan Zhang, Yu-Lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge:
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM 2022: 2162-2168 - [c31]Guozheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qianqian Ren, Ying-Lian Gao:
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. BIBM 2022: 2216-2223 - [c30]Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu:
Identification of cancer driver modules by combining network functional and topology information. BIBM 2022: 2832-2838 - [c29]Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai:
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. BIBM 2022: 3242-3247 - [c28]Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun:
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. BIBM 2022: 3320-3327 - [c27]Hongyu Duan, Feng Li, Xin Chu, Zhensheng Sun, Junliang Shang, Xikui Liu, Yan Li:
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types. BIBM 2022: 3343-3350 - [c26]Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li:
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. ICIC (2) 2022: 345-355 - [c25]Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA 2022: 1-8 - [c24]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA 2022: 126-137 - [c23]Han Li, Feng Li, Junliang Shang, Xikui Liu, Yan Li:
A Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes. ISBRA 2022: 148-158 - [c22]Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang:
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA 2022: 159-168 - [c21]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA 2022: 381-388 - [c20]Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang:
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC 2022: 80-93 - 2021
- [j25]Junliang Shang, Jing Wang, Yan Sun, Feng Li, Jin-Xing Liu, Honghai Zhang:
Multiscale part mutual information for quantifying nonlinear direct associations in networks. Bioinform. 37(18): 2920-2929 (2021) - [j24]Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu:
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31(5): 2150006:1-2150006:15 (2021) - [j23]Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang:
Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. 19(1): 2050047:1-2050047:24 (2021) - [j22]Junliang Shang, Yiting Li, Yan Sun, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection. Symmetry 13(1): 49 (2021) - [j21]Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan:
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 539-549 (2021) - [j20]Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang:
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1481-1491 (2021) - [c19]Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA 2021: 3-10 - 2020
- [j19]Ziqi Wang, Yuanyuan Zhang, Shudong Wang, Junliang Shang:
SINE: Second-Order Information Network Embedding. IEEE Access 8: 139044-139051 (2020) - [j18]Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu:
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. 21(1): 339 (2020) - [j17]Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. 21(1): 445 (2020) - [j16]Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei:
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1253-1261 (2020) - [c18]Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong:
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM 2020: 1503-1509 - [c17]Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong:
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM 2020: 2131-2138
2010 – 2019
- 2019
- [j15]Junliang Shang, Xuan Wang, Xiaoyang Wu, Yingxia Sun, Qian Ding, Jin-Xing Liu, Honghai Zhang:
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. IEEE Access 7: 13497-13509 (2019) - [j14]Qian Ding, Junliang Shang, Yan Sun, Guangshuai Liu, Feng Li, Xiguo Yuan, Jin-Xing Liu:
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. IEEE Access 7: 135845-135854 (2019) - [j13]Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai:
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. 20(1): 5 (2019) - [j12]Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang:
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. 20-S(22): 716 (2019) - [j11]Qian Ding, Junliang Shang, Yingxia Sun, Xuan Wang, Jin-Xing Liu:
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions. Comput. Biol. Chem. 78: 440-447 (2019) - [j10]Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong, Junliang Shang:
Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. 78: 468-473 (2019) - [j9]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. 26(8): 769-781 (2019) - [c16]Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu:
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis. IDMB 2019: 137-151 - 2018
- [c15]Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang:
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. BIBM 2018: 578-582 - [c14]Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai:
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) 2018: 407-418 - [c13]Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang:
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) 2018: 470-482 - [c12]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. ISBRA 2018: 26-37 - 2017
- [j8]Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng:
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Min. 10(1): 23:1-23:17 (2017) - [j7]Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang:
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. BMC Syst. Biol. 11(6): 63-73 (2017) - [j6]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [c11]Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang:
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM 2017: 1900-1905 - [c10]Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang:
A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM 2017: 2183-2186 - 2016
- [j5]Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng:
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions. BMC Bioinform. 17: 214 (2016) - [j4]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang:
Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput. Biol. Chem. 65: 185-192 (2016) - [j3]Shengjun Li, Junliang Shang, Qinliang Chen, Yan Sun, Jin-Xing Liu:
A compressed sensing based two-stage method for detecting epistatic interactions. Int. J. Data Min. Bioinform. 14(4): 354-372 (2016) - [c9]Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang:
L21-iPaD: An efficient method for drug-pathway association pairs inference. BIBM 2016: 664-669 - [c8]Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang:
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM 2016: 1822-1827 - [c7]Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li:
An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions. ICIC (3) 2016: 21-32 - [c6]Shengjun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li:
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. ICIC (2) 2016: 67-77 - [c5]Wenxiang Zhang, Junliang Shang, Huiyu Li, Yingxia Sun, Jin-Xing Liu:
SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions. ICIC (1) 2016: 112-121 - [c4]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang:
Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) 2016: 285-293 - [c3]Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. ICIC (2) 2016: 290-299 - 2015
- [c2]Junliang Shang, Yan Sun, Yun Fang, Shengjun Li, Jin-Xing Liu, Yuanke Zhang:
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders. ICIC (2) 2015: 623-633 - [c1]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang:
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) 2015: 679-685 - 2014
- [j2]Junliang Shang, Junying Zhang, Yan Sun, Yuanke Zhang:
EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions. Digit. Signal Process. 24: 1-13 (2014) - 2011
- [j1]Junliang Shang, Junying Zhang, Yan Sun, Dan Liu, Daojun Ye, Yaling Yin:
Performance analysis of novel methods for detecting epistasis. BMC Bioinform. 12: 475 (2011)
Coauthor Index
Ling-Yun Dai
aka: Lingyun Dai
aka: Lingyun Dai
[j50] [j49] [j48] [j45] [j44] [j42] [j41] [j40] [c45] [c44] [c43] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [c42] [c41] [c40] [c35] [c34] [j28] [j27] [j26] [c33] [c32] [c30] [c26] [c25] [c24] [c22] [c21] [c20] [j25] [j24] [j23] [j22] [j20] [c19] [j18] [j17] [j16] [c18] [c17] [j15] [j14] [j13] [j11] [j10] [j9] [c16] [c15] [c14] [c13] [c12] [j8] [j7] [j6] [c11] [c10] [j5] [j4] [j3] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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