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Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.

J. Liu, X. Kong, C. Zheng, J. Shang, and W. Zhang. BIBM, page 1822-1827. IEEE, (2016)

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Other publications of authors with the same name

Gene Expression Data Classification Using Consensus Independent Component Analysis.C. Zheng, D. Huang, X. Kong, and X. Zhao. Genomics, Proteomics & Bioinformatics, 6 (2): 74-82 (2008)Improving Multi-Core System Dependability with Asymmetrically Reliable Cores.P. Ungsunan, C. Lin, Y. Gai, and X. Kong. CISIS, page 1252-1257. IEEE Computer Society, (2009)TMBF: Bloom filter algorithms of time-dependent multi bit-strings for incremental set.M. Xiao, X. Kong, J. Liu, and J. Ning. ICUMT, page 1-4. IEEE, (2009)Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection.C. Zheng, D. Huang, L. Zhang, and X. Kong. IEEE Trans. Information Technology in Biomedicine, 13 (4): 599-607 (2009)Efficient dynamic task scheduling in virtualized data centers with fuzzy prediction.X. Kong, C. Lin, Y. Jiang, W. Yan, and X. Chu. J. Network and Computer Applications, 34 (4): 1068-1077 (2011)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)Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint.X. Kong, C. Zheng, Y. Wu, and L. Shang. ICIC (1), volume 4681 of Lecture Notes in Computer Science, page 792-802. Springer, (2007)Towards evidence-based parameter values and priors for aquatic ecosystem modelling.B. Robson, G. Arhonditsis, M. Baird, J. Brebion, K. Edwards, L. Geoffroy, M. Hébert, V. van Dongen-Vogels, E. Jones, C. Kruk and 7 other author(s). Environmental Modelling and Software, (2018)Modeling and Analysis of Dependability Attributes for Services Computing Systems.J. Huang, C. Lin, X. Kong, B. Wei, and X. Shen. IEEE Trans. Services Computing, 7 (4): 599-613 (2014)A convex multi-view low-rank sparse regression for feature selection and clustering.Y. Lu, J. Liu, X. Kong, and J. Shang. BIBM, page 2183-2186. IEEE Computer Society, (2017)

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Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.

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Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.