Computer Science ›› 2020, Vol. 47 ›› Issue (4): 60-66.doi: 10.11896/jsjkx.190300073
• Database & Big Data & Data Science • Previous Articles Next Articles
LI Gang, WANG Chao, HAN De-peng, LIU Qiang-wei, LI Ying
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[1]NAYLOR M G,XIHONG L,WEISS S T,et al.Using Canonical Correlation Analysis to Discover Genetic Regulatory Variants [J].Plos One,2010,5(5):1-6. [2]PARKHOMENKO E,TRITCHLER D,BEYENE J.Sparse Canonical Correlation Analysis with Application to Genomic Data Integration [J].Statistical Applications in Genetics and Molecular Biology,2009,8(1):1-34. [3]WAAIJENBORG S,VERSELEWEL D W H,PHILIP C,et al.Quantifying The Association between Gene Expressions and DNA-markers by Penalized Canonical Correlation Analysis [J].Statistical Applications in Genetics & Molecular Biology,2008,7(1):1-29. [4]WITTEN D M,TIBSHIRANI R J.Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data [J].Statistical Applications in Genetics & Molecular Biology,2009,8(1):1-27. [5]CAO S,QIN H,GOSSMANN A,et al.Unified Tests for Finescale Mapping and Identifying Sparse High-dimensional Sequence Associations [J].Bioinformatics,2016,32(3):330-337. [6]DENG S P,HU W,CALHOUN V D,et al.Integrating Imaging Genomic Data in The Quest For Biomarkers for Schizophrenia Disease [J].IEEE/ACM Transactions on Computational Biology & Bioinformatics,2017,15(5):1480-1491. [7]HOTELLING H.Relations Between Two Sets of Variates [J].Biometrika,1936,28(3/4):321-377. [8]WITTEN D M,ROBERT T,TREVOR H.A Penalized Matrix Decomposition with Applications to Sparse Principal Components and Canonical Correlation Analysis [J].Biostatistics,2009,10(3):515-534. [9]FANG J,LIN D,SCHULZ C,et al.Joint Sparse Canonical Correlation Analysis for Detecting Differential Imaging Genetics Modules [J].Bioinformatics,2011,32(22):3480-3488. [10]ANDREW G,ARORA R,BILMES J,et al.Deep Canonical Correlation Analysis[C]//Proceedings of the International Conference on Machine Learning.2013:1247-1255. [11]WANG W,ARORA R,LIVESCU K,et al.On Deep Multi-view Representation Learning[C]//Proceedings of International Conference on Machine Learning.2015:1083-1092. [12]PARKHOMENKO E,TRITCHLER D,BEVENE J.Genomewide Sparse Canonical Correlation of Gene Expression with Genotypes [J].Bmc Proceedings,2007,1(9):1-5. [13]CAO K A L,MARTIN P G,ROBERT-GRANIE C,et al.Sparse Canonical Methods for Biological Data Integration:Application to a Cross-platform Study [J].Bmc Bioinformatics,2009,10(1):1-17. [14]WANG W,ARORA R,LIVESCU K,et al.Unsupervised Learning of Acoustic Features via Deep Canonical Correlation Analysis[C]//Proceedings of IEEE International Conference on Acoustics.2015:1-5. [15]DAI Y H,LIAO L Z,LI D.On Restart Procedures for The Conjugate Gradient Method [J].Numerical Algorithms,2004,35(2/3/4):249-260. [16]HU W,CAI B,CALHOUN V,et al.Multi-modal Brain Connectivity Study Using Deep Collaborative Learning [J].Springer Nature America,2018,7(4):1-9. [17]ZAHARIA M,CHOWDHURY M,FRANKLIN M J,et al.Spark:Cluster Computing with Working Sets [J].HotCloud,2010,10(10):95. [18]NG A Y,JORDAN M I,WEISS Y.On Spectral Clustering:Analysis and an Algorithm[C]//Proceedings of the 14th International Conference on Neural Information Processing Systems:Natural and Synthetic.2001:1-8. [19]CAI D,HE X,HAN J.Document Clustering Using Locality Preserving Indexing [J].IEEE Transactions on Knowledge & Data Engineering,2005,17(12):1624-1637. [20]GHADDAR B,NAOUMSAWAYA J.High Dimensional Data Classification and Feature Selection Using Support Vector Machines [J].European Journal of Operational Research,2018,265(3):86-93. [21]SOHN K,SHANG W,LEE H.Improved Multimodal Deep Learning with Variation of Information[C]//Proceedings of the International Conference on Neural Information Processing Systems.2014:2141-2149. [22]SRIVASTAVA N,SALAKHUTDINOV R.Multimodal Learning with Deep Boltzmann Machines [J].Journal of Machine Learning Research,2014,15(8):1-9. [23]HU W,CAI B,ZHANG A,et al.Deep Collaborative Learning with Application to Multimodal Brain Development Study [J].IEEE Transactions on Biomedical Engineering,2019,7(10):1-8. |
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