Results 61 to 70 of about 9,816 (139)

The effect of haplotype size on genomic selection accuracy and epistasis: An empirical study in rice. [PDF]

Plant Genome
Montiel M, Moreno-Amores J, Punzalan J, Angira B, Cerioli T, Robbins K, McCouch S, Fritsche-Neto R, Famoso A.   +8 more
europepmc   +1 more source

Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring. [PDF]

Entropy (Basel)
Zhang Z, Gui W.
europepmc   +1 more source

Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches. [PDF]

Bioengineering (Basel)
Yuda E, Kaneko I, Hirahara D.
europepmc   +1 more source

Synthetic Regressing Control. [PDF]

Obs Stud
Zhu R.
europepmc   +1 more source

Optimum recombination rates for genetic gains in simulated recurrent selection in empirical maize populations. [PDF]

Plant Genome
Anilkumar C, Bernardo R.
europepmc   +1 more source

Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction. [PDF]

Theor Appl Genet
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Inaba J, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, Iwata H.   +23 more
europepmc   +1 more source

A jackknife approach to estimate the prediction uncertainty from binary classifiers under right-censoring. [PDF]

Stat Methods Med Res
Jahn-Eimermacher A, Klein L, Grieser G.
europepmc   +1 more source

The implementation of empirical best linear unbiased prediction-Fay Herriot (EBLUP-FH) on the estimation of average per capita expenditure at district level in West Sumatra Province in 2019

Journal of Mathematical and Computational Science, 2022
openaire   +1 more source

Genetic prediction with ARG-powered linear algebra. [PDF]

Genetics
Lee H, Pope NS, Kelleher J, Gorjanc G, Ralph PL.   +4 more
europepmc   +1 more source

Cross-dataset benchmarking of machine learning models for marine and atmospheric environmental prediction. [PDF]

PLoS One
Zhou X, Zhang H, Du T, Yuan Q, Wang H.
europepmc   +1 more source