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In this paper we develop a new approach to sparse principal component analysis (sparse PCA).
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A direct formulation for sparse PCA using semidefinite programming
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A gene expression signature to predict survival in breast cancer across independent data sets
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Elucidating the altered transcriptional programs in breast cancer using independent component analysis
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Optimization Algorithms on Matrix Manifolds
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