Handling of data containing outliers
1 PCA robust to outliers Away from often showing missing values, Microarray or Metabolite data are often corrupted with extreme values (outliers). Standard SVD is highly suscep-tible to outliers.
Henning Redestig, Wolfram Stacklies
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K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots. [PDF]
Fazio S +6 more
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This graduate level textbook covers an especially broad range of topics. The book first offers a careful discussion of the basics of linear algebra. It then proceeds to a discussion of modules, emphasizing a comparison with vector spaces, and presents a ...
Cooperstein, Bruce N.
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A reduced basis decomposition approach to efficient data collection in pairwise comparison studies. [PDF]
Jiang J, Marsh J, Seymour R.
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A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology. [PDF]
Wang S, Hao W.
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Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils. [PDF]
Kressner D, Plestenjak B.
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Wigner Distribution Sets Universal Lower Bound for Quantum Advantage in Gaussian Boson Sampling. [PDF]
Kocharovsky VV, Kalra K.
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Graph transformer with disease subgraph positional encoding for improved comorbidity prediction. [PDF]
Qin X, Liao L.
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A theoretical analysis of mass scaling techniques. [PDF]
Voet Y, Sande E, Buffa A.
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Designing reaction-cross-diffusion systems with Turing and wave instabilities. [PDF]
Villar-SepĂșlveda E +2 more
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