Results 91 to 100 of about 4,208,808 (305)
Use of Deep Learning to Study Modeling Deterioration of Pavements a Case Study in Iowa
Infrastructures, 2020 This paper describes the process and outcome of deterioration modeling for three different pavement types (asphalt, concrete, and composite) in the state of Iowa.
Seyed Amirhossein Hosseini +2 more
doaj +1 more source
, 2023 Sam Multack,1 Nellie Plummer,1 Gerard Smits,2 Brad Hall3 1Multack Eye Care, Frankfort, IL, USA; 2CSC, Inc., Santa Barbara, CA, USA; 3Sengi, Penniac, NB, CanadaCorrespondence: Sam Multack, Multack Eye Care, 22200 Wolf Road, Frankfort, IL, 60423, USA, Tel +
Smits G, Multack S, Hall B, Plummer N
core
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
G3: Genes, Genomes, Genetics, 2020 Most of the genomic studies in plants and animals have used additive models for studying genetic parameters and prediction accuracies. In this study, we used genomic models with additive and nonadditive effects to analyze the genetic architecture of ...
Saravanan Thavamanikumar +3 more
doaj +1 more source
CEACAM1 participation in breast cancer progression
Molecular Oncology, EarlyView.In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
Efficiency of Genomic Selection for Developing Superior Pure Lines
AgronomyThe objectives were to assess the efficacy of genomic selection in pure line breeding, using a simulated dataset, the significance of several factors, including model updating, selection intensity, early generation (F2) selection, dominance, and the ...
Jean Paulo Aparecido da Silva +1 more
doaj +1 more source
Acta Agronómica, 2017 The aim of this paper is to build a supervised intelligent classification model of food products such as Biscuits, Cereals, Vegetables, Edible nuts and etc., using digital images. The Correlation-based Feature Selection (CFS) algorithm and 2nd derivative
Narendra Veernagouda Ganganagowder +1 more
doaj +1 more source
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Effect of milk recording scheme on lactation milk yields prediction accuracy
Mljekarstvo, 2009 Different AT milk recording schemes, with purpose of detection of scheme with the highest lactation milk yields prediction accuracy as well as with simplest practice application, were compared in this study.
Dragomir Kompan +4 more
doaj
Genomic selection accuracy for the yield trait in alfalfa half-sib families based on GWAS strategies
Grass ResearchAlfalfa (Medicago sativa L.), a globally vital perennial forage supporting livestock, faces stagnant yield improvement due to polyploid complexity and slow genetic gains.
Yangyang Han +7 more
doaj +1 more source