Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
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DOI: 10.2202/1544-6115.1470
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- Michael Morley & Cliona M. Molony & Teresa M. Weber & James L. Devlin & Kathryn G. Ewens & Richard S. Spielman & Vivian G. Cheung, 2004. "Genetic analysis of genome-wide variation in human gene expression," Nature, Nature, vol. 430(7001), pages 743-747, August.
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- Wang, Wenjia & Zhou, Yi-Hui, 2021. "Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors," Journal of Multivariate Analysis, Elsevier, vol. 185(C).
- Zhang Fan & Miecznikowski Jeffrey C. & Tritchler David L., 2020. "Identification of supervised and sparse functional genomic pathways," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 19(1), pages 1-27, February.
- Yunfeng Zhang & Irina Gaynanova, 2022. "Joint association and classification analysis of multi‐view data," Biometrics, The International Biometric Society, vol. 78(4), pages 1614-1625, December.
- Sandra E. Safo & Eun Jeong Min & Lillian Haine, 2022. "Sparse linear discriminant analysis for multiview structured data," Biometrics, The International Biometric Society, vol. 78(2), pages 612-623, June.
- Efrat Muller & Itamar Shiryan & Elhanan Borenstein, 2024. "Multi-omic integration of microbiome data for identifying disease-associated modules," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
- Lee Woojoo & Lee Donghwan & Lee Youngjo & Pawitan Yudi, 2011. "Sparse Canonical Covariance Analysis for High-throughput Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-24, July.
- Ronglai Shen & Qianxing Mo & Nikolaus Schultz & Venkatraman E Seshan & Adam B Olshen & Jason Huse & Marc Ladanyi & Chris Sander, 2012. "Integrative Subtype Discovery in Glioblastoma Using iCluster," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-9, April.
- Jose A Seoane & Colin Campbell & Ian N M Day & Juan P Casas & Tom R Gaunt, 2014. "Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-13, October.
- Bin Li & Hyunjin Shin & Georgy Gulbekyan & Olga Pustovalova & Yuri Nikolsky & Andrew Hope & Marina Bessarabova & Matthew Schu & Elona Kolpakova-Hart & David Merberg & Andrew Dorner & William L Trepicc, 2015. "Development of a Drug-Response Modeling Framework to Identify Cell Line Derived Translational Biomarkers That Can Predict Treatment Outcome to Erlotinib or Sorafenib," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-20, June.
- Nam D Nguyen & Daifeng Wang, 2020. "Multiview learning for understanding functional multiomics," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-26, April.
- Dmitry Kobak & Yves Bernaerts & Marissa A. Weis & Federico Scala & Andreas S. Tolias & Philipp Berens, 2021. "Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 980-1000, August.
- Langworthy, Benjamin W. & Stephens, Rebecca L. & Gilmore, John H. & Fine, Jason P., 2021. "Canonical correlation analysis for elliptical copulas," Journal of Multivariate Analysis, Elsevier, vol. 183(C).
- Iaci, Ross & Sriram, T.N., 2013. "Robust multivariate association and dimension reduction using density divergences," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 281-295.
- Bayarbaatar Amgalan & Hyunju Lee, 2014. "WMAXC: A Weighted Maximum Clique Method for Identifying Condition-Specific Sub-Network," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
- Diptavo Dutta & Yuan He & Ashis Saha & Marios Arvanitis & Alexis Battle & Nilanjan Chatterjee, 2022. "Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Palzer, Elise F. & Wendt, Christine H. & Bowler, Russell P. & Hersh, Craig P. & Safo, Sandra E. & Lock, Eric F., 2022. "sJIVE: Supervised joint and individual variation explained," Computational Statistics & Data Analysis, Elsevier, vol. 175(C).
- Coleman Jacob & Replogle Joseph & Chandler Gabriel & Hardin Johanna, 2016. "Resistant multiple sparse canonical correlation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(2), pages 123-138, April.
- Tenenhaus, Arthur & Philippe, Cathy & Frouin, Vincent, 2015. "Kernel Generalized Canonical Correlation Analysis," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 114-131.
- Chalise, Prabhakar & Fridley, Brooke L., 2012. "Comparison of penalty functions for sparse canonical correlation analysis," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 245-254.
- Jung, Sungkyu, 2018. "Continuum directions for supervised dimension reduction," Computational Statistics & Data Analysis, Elsevier, vol. 125(C), pages 27-43.
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Keywords
sparse canonical correlation analysis; gene expression; microarray; DNA copy number; CGH; SNP; lasso; fused lasso;All these keywords.
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