A genomic estimated breeding value-assisted reduction method of single nucleotide polymorphism sets: a novel approach for determining the cutoff thresholds in genome-wide association studies and best linear unbiased prediction. [PDF]
Anim Cells Syst (Seoul), 2023 Lee YS, Oh JD, Lee JY, Shin D.
europepmc +1 more source
Approximate Reliability of Best Linear Unbiased Prediction in Models with and Without Relationships
Journal of Dairy Science, 1985 Abstract In sire summaries, attention is paid to the reliability of estimates of breeding values, often expressed as the squared correlation between estimated and true breeding values. In best linear unbiased prediction procedures, which account for relationships between sires, reliability is approximated by (n e + ka −1 −k)/(n e + ka −1 ), where n
J.B.M. Wilmink, J. Dommerholt
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Response of Cowpea (Vigna unguiculata L. Walp) Accessions to Moisture Stress
International Journal of Plant BiologyCowpea is one of the most important leguminous crops in Sub-Saharan Africa (SSA), and moisture stress is among the constraints affecting its productivity. This study was conducted to understand the response of cowpea accessions to moisture stress.
Nyimasata Manneh +5 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Genetic parameters and selection in full-sib families of tall fescue using best linear unbiased prediction (BLUP) analysis. [PDF]
BMC Plant Biol, 2022 Pirnajmedin F +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang +11 more
wiley +1 more source
Evaluation of the efficiency of genomic versus pedigree predictions for growth and wood quality traits in Scots pine [PDF]
, 2020 Background Genomic selection (GS) or genomic prediction is a promising approach for tree breeding to obtain higher genetic gains by shortening time of progeny testing in breeding programs.
Abrahamsson, Sara +7 more
core
Weighted Single-Step Genomic Best Linear Unbiased Prediction Method Application for Assessing Pigs on Meat Productivity and Reproduction Traits. [PDF]
Animals (Basel), 2022 Kabanov A +9 more
europepmc +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
Advanced Intelligent Systems, EarlyView.This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source