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All of the participants completed the subtests, including the block design, picture completion, matrix reasoning, vocabulary, similarities, information, digit span, arithmetic, and letter-number sequence subtests, that together comprise the POI, VCI, and WMI scores individually.
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Building on basic methods of optimization and numerical linear algebra, the course will explore the role of numerical methods for treating several classes of data analysis problems, including low rank factorizations and completion of matrix data; function approximation by kernel methods; and analysis of data on graphs.
The WISC-IV subtests for Perceptual Reasoning were Block Design, Picture Completion, and Matrix Reasoning; for Working Memory the subtests were Digit Span and Arithmetic; and for Processing Speed the subtests were Coding and Symbol Search.
In this article, we apply a novel matrix-completion method called Inductive Matrix Completion to the problem of predicting gene-disease associations; it combines multiple types of evidence (features) for diseases and genes to learn latent factors that explain the observed gene disease associations.
3. Matrix completion on the combined network: We consider matrix completion on the combined network C instead of the bipartite network P ; the low-rank model C ≈ W H T suggests that the factors W and H should explain not only the gene disease associations, but also the observed gene interactions, other species phenotypes and disease similarities.
As expected, matrix completion on C performs significantly better than the baseline matrix completion.
Our approach is a novel application of the inductive matrix completion method; it can be applied to diseases not seen at training time, unlike traditional matrix completion approaches and other network-based inference methods that are transductive.
Matrix completion.
Fazayeli, F. et al. Uncertainty quantified matrix completion using Bayesian Hierarchical Matrix factorization.
Matrix completion has no spurious local minimum, by Ge, Lee, and Ma.
Lee, J. & Barbastathis, G. Denoised Wigner distribution deconvolution via low-rank matrix completion.
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