Accuracy of Genomic Estimated Breeding Value with Hanwoo Cows in the Commercial Farms
Eun Gyeong Shin +2 more
openaire +1 more source
Genetic diversity and population structure analysis of cotton (Gossypium hirsutum L.) genotypes using DArTseq technology. [PDF]
Haliloğlu K +4 more
europepmc +1 more source
Abstract Recent trends show an alarming rise in pancreatic cancer prevalence among young individuals. Previous studies have presented differences in age at diagnosis. The study aimed to examine the likelihood of a younger age at diagnosis in individuals exposed to known risk factors, compared with those without exposure.
Ro‐Ting Lin +6 more
wiley +1 more source
A selection index with minimal genetic relatedness for multi-trait data via binary quadratic programming. [PDF]
Montesinos-López OA +3 more
europepmc +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Simulations of genomic selection implementation pathways in common bean (Phaseolus vulgaris L.) using parametric and nonparametric models. [PDF]
Chiaravallotti I, Hoyos-Villegas V.
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
The Big BIT maize experiment: A large multi-location, multi-year, multi-tester, multi-population predictive breeding validation study. [PDF]
Jines M +27 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Sparse testcrossing for early-stage genomic prediction of general combining ability to increase genetic gain in maize hybrid breeding programs. [PDF]
González-Diéguez DO +5 more
europepmc +1 more source

