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Juan Liu 0007
Person information
- affiliation: Wuhan University, School of Computer Science, Institute of Artificial Intelligence, China
Other persons with the same name
- Juan Liu — disambiguation page
- Juan Liu 0001 — Xinjiang University, College of Mathematics Sciences, Urumqi, China
- Juan Liu 0002 — Ningbo University, College of Electrical Engineering and Computer Science, Zhejiang, China (and 3 more)
- Juan Liu 0003 — Xiamen University, Institute of Physical and Mechanical and Electrical Engineering, China (and 1 more)
- Juan Liu 0004 — Bengbu College, Department of Mathematics and Physics, China
- Juan Liu 0005 — Jinan University, Department of Mathematics, Guangzhou, China
- Juan Liu 0006 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China
- Juan Liu 0008 — Shandong University, College of Software, School of Computer Science and Technology, China (and 1 more)
- Juan Liu 0009 — Google Inc, New York, NY, USA (and 1 more)
- Juan Liu 0010 — Nanchang Hangkong University, Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province, China (and 1 more)
- Juan Liu 0011 — Tongji University, School of Electronics and Information Engineering, Shanghai, China
- Juan Liu 0012 — Palo Alto Research Center, CA, USA (and 1 more)
- Juan Liu 0013 — DOCOMO Beijing Communications Laboratories Company, Ltd., Beijing, China (and 1 more)
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2020 – today
- 2024
- [j45]Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu:
A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks. Briefings Bioinform. 25(5) (2024) - [j44]Zhihui Yang, Juan Liu, Feng Yang, Xiaolei Zhang, Qiang Zhang, Xuekai Zhu, Peng Jiang:
Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. Comput. Biol. Chem. 110: 108058 (2024) - [j43]Yuqi Chen, Juan Liu, Peng Jiang, Yu Jin:
A novel multilevel iterative training strategy for the ResNet50 based mitotic cell classifier. Comput. Biol. Chem. 110: 108092 (2024) - [j42]Xiaolei Zhang, Juan Liu, Feng Yang, Qiang Zhang, Zhihui Yang, Hayat Ali Shah:
Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search. Comput. Biol. Chem. 111: 108106 (2024) - [j41]Yu Jin, Juan Liu, Yuanyuan Zhou, Rong Chen, Hua Chen, Wensi Duan, Yuqi Chen, Xiao-Lian Zhang:
CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration. Comput. Medical Imaging Graph. 113: 102354 (2024) - [j40]Peng Jiang, Juan Liu, Jing Feng, Hua Chen, Yuqi Chen, Cheng Li, Baochuan Pang, Dehua Cao:
Interpretable detector for cervical cytology using self-attention and cell origin group guidance. Eng. Appl. Artif. Intell. 134: 108661 (2024) - [j39]Hayat Ali Shah, Juan Liu, Zhihui Yang:
Gtie-Rt: A comprehensive graph learning model for predicting drugs targeting metabolic pathways in human. J. Bioinform. Comput. Biol. 22(3): 2450010:1-2450010:21 (2024) - [c46]Wensi Duan, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Cheng Li, Dehua Cao, Baochuan Pang:
BS2CL: Balanced Self-supervised Contrastive Learning for Thyroid Cytology Whole Slide Image Multi-classification. ICIC (7) 2024: 41-52 - [c45]Yuxiao Wang, Ding Zhu, Juan Liu:
A Multi-scale Multivariate Time Series Classification Method Based on Bag of Patterns. ICIC (LNAI 2) 2024: 269-280 - [c44]Tianqi Teng, Feng Yang, Qiang Zhang, Juan Liu:
Variable-Length Promoter Strength Prediction Based on Graph Convolution. ISBRA (1) 2024: 310-321 - 2023
- [j38]Peng Jiang, Xuekong Li, Hui Shen, Yuqi Chen, Lang Wang, Hua Chen, Jing Feng, Juan Liu:
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis. Artif. Intell. Rev. 56(S2): 2687-2758 (2023) - [j37]Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang:
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. Big Data Min. Anal. 6(1): 1-10 (2023) - [j36]Na Zhang, Juan Liu, Yu Jin, Wensi Duan, Ziling Wu, Zhaohui Cai, Meng Wu:
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images. BMC Bioinform. 24(1): 315 (2023) - [j35]Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah:
FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. Frontiers Comput. Sci. 17(5): 175903 (2023) - [j34]Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng:
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties. J. Bioinform. Comput. Biol. 21(4): 2350017:1-2350017:20 (2023) - [j33]Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao:
Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice. J. Digit. Imaging 36(3): 1110-1122 (2023) - [c43]Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng:
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. BIBM 2023: 82-87 - [c42]Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. BIBM 2023: 1842-1845 - [c41]Yuqi Chen, Juan Liu, Zhiqun Zuo, Peng Jiang, Yu Jin, Guangsheng Wu:
Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. ICASSP 2023: 1-5 - [c40]Yu Jin, Juan Liu, Hua Chen, Wensi Duan, Dehua Cao, Baochuan Pang:
MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification. ICASSP 2023: 1-5 - [c39]Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang:
DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification. ICASSP 2023: 1-5 - [c38]Lang Wang, Juan Liu, Peng Jiang, Dehua Cao, Baochuan Pang:
LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification. ICASSP 2023: 1-5 - [c37]Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng:
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. ICIC (3) 2023: 428-446 - [c36]Peng Jiang, Juan Liu, Yuqi Chen, Hongyu Dong, Hua Chen, Baochuan Pang, Dehua Cao:
Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification. ISBI 2023: 1-5 - [c35]Na Zhang, Juan Liu, Meng Wu:
Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images. PRCV (5) 2023: 407-418 - 2022
- [j32]Hua Chen, Juan Liu, Chunbing Hua, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism. BMC Bioinform. 23(1): 282 (2022) - [j31]Feng Yang, Juan Liu, Qiang Zhang, Zhihui Yang, Xiaolei Zhang:
CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction. BMC Bioinform. 23(1): 362 (2022) - [j30]Zhihui Yang, Juan Liu, Hayat Ali Shah, Jing Feng:
A novel hybrid framework for metabolic pathways prediction based on the graph attention network. BMC Bioinform. 23-S(5): 329 (2022) - [j29]Hayat Ali Shah, Juan Liu, Zhihui Yang, Xiaolei Zhang, Jing Feng:
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes. Comput. Biol. Medicine 147: 105756 (2022) - [j28]Hua Chen, Juan Liu, Yu Jin, Baochuan Pang, Dehua Cao, Di Xiao:
DSCC: a data set of cervical cell images for cervical cytology screening. Int. J. Data Min. Bioinform. 27(1/2/3): 171-186 (2022) - [j27]Jing Feng, Wenbo Chen, Xin Dong, Jun Wang, Xiangfei Mei, Jin Deng, Siqi Yang, Chenjian Zhuo, Xiaoyu Huang, Lin Shao, Rongyu Zhang, Jing Guo, Ronghui Ma, Juan Liu, Feng Li, Ying Wu, Leng Han, Chunjiang He:
CSCD2: an integrated interactional database of cancer-specific circular RNAs. Nucleic Acids Res. 50(D1): 1179-1183 (2022) - [c34]Yuqi Chen, Juan Liu, Peng Jiang, Lang Wang, Baochuan Pang, Dehua Cao:
Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. BIBM 2022: 936-941 - [c33]Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu:
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. BIBM 2022: 1616-1619 - [c32]Yuqi Chen, Juan Liu, Peng Jiang, Jing Feng, Dehua Cao, Baochuan Pang:
A Context-Guided Attention Method for Integrating Features of Histopathological Patches. BIBM 2022: 2281-2286 - [c31]Peng Jiang, Juan Liu, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang:
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. BIBM 2022: 2302-2307 - [c30]Peng Jiang, Juan Liu, Di Xiao, Baochuan Pang, Zongjie Hao, Dehua Cao:
A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. ICIC (3) 2022: 463-472 - [c29]Peng Jiang, Juan Liu, Hua Chen, Cheng Li, Baochuan Pang, Dehua Cao:
Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. ICONIP (6) 2022: 540-551 - [i5]Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng:
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. CoRR abs/2209.13844 (2022) - 2021
- [j26]Hua Chen, Juan Liu, Qing-Man Wen, Zhiqun Zuo, Jiasheng Liu, Jing Feng, Bao-Chuan Pang, Di Xiao:
CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology. J. Comput. Sci. Technol. 36(2): 347-360 (2021) - [j25]Wenwen Min, Juan Liu, Shihua Zhang:
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. IEEE Trans. Knowl. Data Eng. 33(2): 536-550 (2021) - [c28]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu:
COMNA: Core-attachment based protein complex detection via multiple network alignment. BIBM 2021: 241-244 - [c27]Hua Chen, Juan Liu, Chunbing Hua, Zhiqun Zuo, Jing Feng, Baochuan Pang, Di Xiao:
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data. BIBM 2021: 842-847 - 2020
- [c26]Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu:
GPPIAL: A New Global PPI Network Aligner Based on Orthologs. BIBM 2020: 100-107 - [c25]Zhihui Yang, Juan Liu, Zeyu Wang, Yufan Wang, Jing Feng:
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method. BIBM 2020: 126-131 - [c24]Jian Zhang, Juan Liu, Pei-Fang Li, Jing Feng:
DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection. ICIC (3) 2020: 280-290
2010 – 2019
- 2019
- [j24]Guangsheng Wu, Juan Liu, Xiang Yue:
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. BMC Bioinform. 20(1): 134:1-134:13 (2019) - [c23]Guangsheng Wu, Juan Liu:
Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition. BIBM 2019: 153-158 - [c22]Jiasheng Liu, Juan Liu, Yuqi Chen, Chunbing Hua, Zhuoyu Li, Zhiqun Zuo:
A Robust Approach to Locate HER2 and CEN17 Signals in Varied FISH Images. BIBM 2019: 2690-2695 - [c21]Fangfang Zhu, Juan Liu, Wenwen Min:
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. ICIC (2) 2019: 116-126 - 2018
- [j23]Wenwen Min, Juan Liu, Shihua Zhang:
Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. 34(20): 3479-3487 (2018) - [j22]Guangsheng Wu, Juan Liu, Wenwen Min:
Prediction of drug-disease treatment relations based on positive and unlabeled samples. J. Intell. Fuzzy Syst. 35(2): 1363-1373 (2018) - [j21]Shuai Wang, Juan Liu, Yaoyao Bi, Zhe Chen, Qunhua Zheng, Huifang Duan:
基于两步聚类和随机森林的乳腺腺管自动识别方法 (Automatic Recognition of Breast Gland Based on Two-step Clustering and Random Forest). 计算机科学 45(3): 247-252 (2018) - [j20]Wenwen Min, Juan Liu, Shihua Zhang:
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 944-953 (2018) - [i4]Wenwen Min, Juan Liu, Shihua Zhang:
Group-sparse SVD Models and Their Applications in Biological Data. CoRR abs/1807.10956 (2018) - 2017
- [j19]Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng, Juan Liu, Luonan Chen:
Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. Bioinform. 33(17): 2706-2714 (2017) - [j18]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen:
Comparative network stratification analysis for identifying functional interpretable network biomarkers. BMC Bioinform. 18(S-3): 1-12 (2017) - [j17]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen:
Differential function analysis: identifying structure and activation variations in dysregulated pathways. Sci. China Inf. Sci. 60(1): 12108 (2017) - [j16]Yafang Tan, Juan Liu, Caihua Wang, Wanwei Jiang:
一种稀疏可控的主成分分析方法 (Sparse Controllable Principal Component Analysis Method). 计算机科学 44(1): 243-246 (2017) - [j15]Weizhong Tu, Shaozhen Ding, Ling Wu, Zhe Deng, Hui Zhu, Xiaotong Xu, Chen Lin, Chaonan Ye, Minlu Han, Mengna Zhao, Juan Liu, Zixin Deng, Junni Chen, Dong-Qing Wei, Qian-Nan Hu:
SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization. Quant. Biol. 5(1): 99-104 (2017) - [c20]Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu:
GMAlign: A new network aligner for revealing large conserved functional components. BIBM 2017: 120-127 - [i3]Wenwen Min, Juan Liu, Shihua Zhang:
Sparse Weighted Canonical Correlation Analysis. CoRR abs/1710.04792 (2017) - 2016
- [j14]Weizhong Tu, Haoran Zhang, Juan Liu, Qian-Nan Hu:
BioSynther: a customized biosynthetic potential explorer. Bioinform. 32(3): 472-473 (2016) - [j13]Caihua Wang, Juan Liu, Fei Luo, Qian-Nan Hu:
Multi-fields model for predicting target-ligand interaction. Neurocomputing 206: 58-65 (2016) - [j12]Xuanyu Zhou, Juan Liu, Fei Luo, Yang Liu, Han Yan:
中文指代消解模型的对比研究 (Comparison of Chinese Anaphora Resolution Models). 计算机科学 43(2): 31-34 (2016) - [c19]Guangsheng Wu, Juan Liu, Caihua Wang:
Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations. BIBM 2016: 223-228 - [c18]Chuanchao Zhang, Juan Liu, Qianqian Shi, Xiangtian Yu, Tao Zeng, Luonan Chen:
Integration of multiple heterogeneous omics data. BIBM 2016: 564-569 - [i2]Wenwen Min, Juan Liu, Shi-Hua Zhang:
L0-norm Sparse Graph-regularized SVD for Biclustering. CoRR abs/1603.06035 (2016) - [i1]Wenwen Min, Juan Liu, Shihua Zhang:
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR abs/1609.06480 (2016) - 2015
- [j11]Caihua Wang, Juan Liu, Fei Luo, Zixing Deng, Qian-Nan Hu:
Predicting target-ligand interactions using protein ligand-binding site and ligand substructures. BMC Syst. Biol. 9(S-1): S2 (2015) - [c17]Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang:
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. BIBM 2015: 151-156 - [c16]Chuanchao Zhang, Juan Liu, Qianqian Shi, Tao Zeng, Luonan Chen:
Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. BIBM 2015: 189-194 - 2014
- [j10]Tao Zeng, Xuan Guo, Juan Liu:
Negative correlation based gene markers identification in integrative gene expression data. Int. J. Data Min. Bioinform. 10(1): 1-17 (2014) - [c15]Caihua Wang, Juan Liu, Fei Luo, Yafang Tan, Zixin Deng, Qian-Nan Hu:
Pairwise input neural network for target-ligand interaction prediction. BIBM 2014: 67-70 - [c14]Shuhua Chen, Juan Liu, Tao Zeng:
MMSE: A generalized coherence measure for identifying linear patterns. BIBM 2014: 489-492 - 2013
- [j9]Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu:
Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles. BMC Bioinform. 14(S-8): S1 (2013) - [c13]Wen Zhang, Juan Liu, Yi Xiong, Meng Ke, Ke Zhang:
Predicting immunogenic T-cell epitopes by combining various sequence-derived features. BIBM 2013: 4-9 - 2012
- [j8]Wen Zhang, Juan Liu, Meng Zhao, Qingjiao Li:
Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features. Int. J. Data Min. Bioinform. 6(5): 557-569 (2012) - [c12]Fei Luo, Yangyang Gao, Yongqiong Zhu, Juan Liu:
Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues. ICIC (3) 2012: 160-165 - 2011
- [j7]Shi-Hua Zhang, Qingjiao Li, Juan Liu, Xianghong Jasmine Zhou:
A novel computational framework for simultaneous integration of multiple types of genomic data to identify microRNA-gene regulatory modules. Bioinform. 27(13): 401-409 (2011) - [j6]Wen Zhang, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu:
Prediction of conformational B-cell epitopes from 3D structures by random forest with a distance-based feature. BMC Bioinform. 12: 341 (2011) - [c11]Yi Xiong, Wen Zhang, Tao Zeng, Juan Liu:
Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. BIBM 2011: 143-146 - 2010
- [j5]Tao Zeng, Juan Liu:
Mixture classification model based on clinical markers for breast cancer prognosis. Artif. Intell. Medicine 48(2-3): 129-137 (2010) - [j4]Wen Zhang, Juan Liu, Yanqing Niu:
Quantitative prediction of MHC-II binding affinity using particle swarm optimization. Artif. Intell. Medicine 50(2): 127-132 (2010) - [j3]Fei Luo, Juan Liu, Jinyan Li:
Discovering conditional co-regulated protein complexes by integrating diverse data sources. BMC Syst. Biol. 4(S-2): S4 (2010) - [c10]Tao Zeng, Xuan Guo, Juan Liu:
Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. BIBM 2010: 489-492
2000 – 2009
- 2009
- [j2]Wen Zhang, Juan Liu, Yanqing Niu:
Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine. Appl. Intell. 31(2): 180-187 (2009) - [c9]Tao Zeng, Fei Luo, Juan Liu:
Biological Pathway Conducting Microarray-Based Cancer Classification. BMEI 2009: 1-5 - [c8]Ayad R. Abbas, Juan Liu:
Supporting E-Learning System with Modified Bayesian Rough Set Model. ISNN (2) 2009: 192-200 - [c7]Ayad R. Abbas, Juan Liu:
Personalized SCORM Learning Experience Based on Rating Scale Model. ISNN (1) 2009: 689-698 - [c6]Ayad R. Abbas, Juan Liu:
Design E-learning Recommendation System Using PIRT and VPRS Model. WISM 2009: 489-498 - 2008
- [j1]Wen Zhang, Juan Liu, Yanqing Niu, Lian Wang, Xihao Hu:
A Bayesian regression approach to the prediction of MHC-II binding affinity. Comput. Methods Programs Biomed. 92(1): 1-7 (2008) - [c5]Wen Zhang, Juan Liu, Yanqing Niu, Lian Wang, Zhi Zhang:
Quantitative Prediction of MHC-II Peptide Binding Affinity Using Global Description of Peptide Sequences. BMEI (1) 2008: 352-356 - 2007
- [c4]Tao Zeng, Juan Liu:
Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data. CIS 2007: 181-185 - [c3]Ayad R. Abbas, Juan Liu, Safaa O. Mahdi:
Improved Variable Precision Rough Set Model and its Application to Distance Learning. CIS 2007: 191-195 - 2006
- [c2]Feng Liu, Juan Liu, Jing Feng, Huaibei Zhou:
Estimation Distribution of Algorithm for Fuzzy Clustering Gene Expression Data. ICNC (2) 2006: 328-335 - [c1]Fei Luo, Juan Liu:
A Novel Clustering Method for Analysis of Gene Microarray Expression Data. BioDM 2006: 71-81
Coauthor Index
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