Multiview learning for understanding functional multiomics
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DOI: 10.1371/journal.pcbi.1007677
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- Witten Daniela M & Tibshirani Robert J., 2009. "Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-29, June.
- Hossein Zare & Mostafa Kaveh & Arkady Khodursky, 2011. "Inferring a Transcriptional Regulatory Network from Gene Expression Data Using Nonlinear Manifold Embedding," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-7, August.
- Guido Zampieri & Supreeta Vijayakumar & Elisabeth Yaneske & Claudio Angione, 2019. "Machine and deep learning meet genome-scale metabolic modeling," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-24, July.
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