Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines. [PDF]
G3 (Bethesda), 2019 Momen M, Campbell MT, Walia H, Morota G.
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Genetic analysis of milk production traits of Tunisian Holsteins using random regression test-day model with Legendre polynomials. [PDF]
Asian-Australas J Anim Sci, 2018 Ben Zaabza H, Ben Gara A, Rekik B.
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Quantitative assessment of kidney split function and mean transit time in healthy patients using dynamic 18F-FDG PET/MRI studies with denoising and deconvolution methods making use of Legendre polynomials. [PDF]
EJNMMI RepDestine M, Seret A.
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Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle. [PDF]
Asian-Australas J Anim Sci, 2016 Naserkheil M +4 more
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Accuracy of single-step genomic selection for egg production in yellow-feathered broilers using a random regression model. [PDF]
Poult SciJia S +6 more
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Legendre polynomial transformation and energy-weighted random forests for sequential data classification. [PDF]
Sci RepOlaniran OR +5 more
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Revisiting the inverse Abel integral for reconstructing velocity-map images. [PDF]
Phys Chem Chem PhysSparling C, Onvlee J.
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A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]
PLoS OneTadoummant L +4 more
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