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Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes: The Genetic Latent Factor Approach. [PDF]
Melsen KAC +6 more
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Deep limit order book forecasting: a microstructural guide. [PDF]
Briola A, Bartolucci S, Aste T.
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HGOA-based framework for multi-objective optimization and performance prediction of PEM fuel cells. [PDF]
Kamal +5 more
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A constraint-based framework for exploring the impact of multireaction dependencies on metabolic functions. [PDF]
Küken A +3 more
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Synthetic data for pharmacogenetics: enabling scalable and secure research. [PDF]
Miletic M +3 more
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A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]
Dienstbier J, Liers F, Rolfes J.
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Non-Life Insurance Risk Classification Using Categorical Embedding
Social Science Research Network, 2021This article presents several actuarial applications of categorical embedding in the context of non-life insurance risk classification. In non-life insurance, many rating factors are naturally categorical, and often the categorical variables have a large
Peng Shi, Kun Shi
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EXCLI Journal : Experimental and Clinical Sciences, 2016
Cancer investigations in microarray data play a major role in cancer analysis and the treatment. Cancer microarray data consists of complex gene expressed patterns of cancer.
Chandra Sekhara Rao Annavarapu +2 more
semanticscholar +1 more source
Cancer investigations in microarray data play a major role in cancer analysis and the treatment. Cancer microarray data consists of complex gene expressed patterns of cancer.
Chandra Sekhara Rao Annavarapu +2 more
semanticscholar +1 more source

