Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data

被引:0
作者
Kosuke Yoshida
Junichiro Yoshimoto
Kenji Doya
机构
[1] Kyoto University,Graduate School of Informatics
[2] Okinawa Institute of Science and Technology,Neural Computation Unit
[3] Nara Institute of Science and Technology,Graduate School of Information Science
来源
BMC Bioinformatics | / 18卷
关键词
Kernel canonical correlation analysis; Hilbert-Schmidt independent criterion; L1 regularization;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 68 条
  • [1] Hotelling H(1936)Relations between two sets of variates Biometrika 28 321-77
  • [2] Yamanishi Y(2004)Protein network inference from multiple genomic data: a supervised approach Bioinformatics 20 363-70
  • [3] Vert JP(2008)Quantifying the association between gene expressions and dna-markers by penalized canonical correlation analysis Stat Appl Genet Mol Biol 7 3-34
  • [4] Kanehisa M(2009)A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis Biostatistics 10 515-99
  • [5] Waaijenborg S(2009)Highlighting relationships between heterogeneous biological data through graphical displays based on regularized canonical correlation analysis J Biol Syst 17 173-51
  • [6] Verselewel de Witt Hamer PC(2015)Sparse canonical correlation analysis from a predictive point of view Biom J 57 834-34
  • [7] Zwinderman AH(2009)Sparse canonical correlation analysis with application to genomic data integration Stat Appl Genet Mol Biol 8 1-48
  • [8] Witten DM(2003)Kernel independent component analysis J Mach Learn Res 3 1-30
  • [9] Tibshirani R(2003)Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis Bioinformatics 19 323-30
  • [10] Hastie T(2009)Sparse additive models J R Stat Soc Ser B Stat Methodol 71 1009-72