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

H. Li, S. Li, J. Shang, J. Liu, and C. Zheng. Journal of Computational Biology, 26 (8): 769-781 (2019)

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EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions.J. Shang, J. Zhang, Y. Sun, and Y. Zhang. Digital Signal Processing, (2014)L21-iPaD: An efficient method for drug-pathway association pairs inference.D. Wang, C. Zheng, Y. Gao, J. Liu, S. Wu, and J. Shang. BIBM, page 664-669. IEEE, (2016)A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions.J. Shang, X. Wang, X. Wu, Y. Sun, Q. Ding, J. Liu, and H. Zhang. IEEE Access, (2019)HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions.Q. Ding, J. Shang, Y. Sun, X. Wang, and J. Liu. Computational Biology and Chemistry, (2019)Network analysis based on low-rank method for mining information on integrated data of multi-cancers.M. Hou, Y. Gao, J. Liu, L. Dai, X. Kong, and J. Shang. Computational Biology and Chemistry, (2019)Gene Extraction Based on Sparse Singular Value Decomposition.X. Kong, J. Liu, C. Zheng, and J. Shang. ICIC (1), volume 9771 of Lecture Notes in Computer Science, page 285-293. Springer, (2016)Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.M. Hou, Y. Gao, J. Liu, J. Shang, and C. Zheng. ICIC (2), volume 9772 of Lecture Notes in Computer Science, page 290-299. Springer, (2016)acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search.C. Liu, J. Shang, X. Zhu, Y. Sun, J. Liu, C. Zheng, and J. Zhang. ICIC (2), volume 10955 of Lecture Notes in Computer Science, page 470-482. Springer, (2018)Performance analysis of novel methods for detecting epistasis.J. Shang, J. Zhang, Y. Sun, D. Liu, D. Ye, and Y. Yin. BMC Bioinformatics, (2011)An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions.Y. Sun, J. Shang, J. Liu, and S. Li. ICIC (3), volume 9773 of Lecture Notes in Computer Science, page 21-32. Springer, (2016)

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

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.

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