Results 101 to 110 of about 68,669 (249)
ABSTRACT Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non‐linear representation capabilities for modelling non‐additive effects. However, their application in GS remains restricted, as high‐dimensional, low‐sample and noisy data hinder the identification of ...
Yuexin Ma +7 more
wiley +1 more source
Epistasis among driver mutations is pervasive and explains relevant features of cancer, such as differential therapy response and convergence towards well-characterized molecular subtypes.
Carla Alejandre +2 more
doaj +1 more source
Evidence of epistasis between Interleukin-1 and Selenoprotein-S with susceptibility to rheumatoid arthritis [PDF]
Objective: Selenoprotein-S (SELS) is involved in the stress response within the endoplasmic reticulum (ER) and inflammation. Recently, promoter variants in the SELS gene were shown to be associated with plasma levels of interleukin (IL)6, IL1β and tumour
Binks, M.H. +5 more
core +2 more sources
ABSTRACT Cultivated peanut (Arachis hypogaea L.) is an important oilseed and cash crop, and seed sucrose content (SSC), seed oil content (SOC) and seed protein content (SPC) are key determinants of seed flavour, texture, and overall quality. Identifying quantitative trait loci (QTLs) and candidate genes associated with SSC, SOC and SPC is therefore of ...
Yuzhen Zheng +20 more
wiley +1 more source
Epistasis is an important contributor to genetic variance. In inbred populations, pairwise epistasis is present as additive by additive interactions.
Nicholas Santantonio +2 more
doaj +1 more source
Long-Range Epistasis Mediated by Structural Change in a Model of Ligand Binding Proteins. [PDF]
Recent analyses of amino acid mutations in proteins reveal that mutations at many pairs of sites are epistatic-i.e., their effects on fitness are non-additive-the combined effect of two mutations being significantly larger or smaller than the sum of ...
Erik D Nelson, Nick V Grishin
doaj +1 more source
Inferring the shape of global epistasis
Significance How does an organism’s genetic sequence govern its measurable characteristics? New technologies provide libraries of randomized sequences to study this relationship in unprecedented detail for proteins and other molecules.
Jakub Otwinowski +2 more
semanticscholar +1 more source
Phenotype Prediction Under Epistasis
Reliable methods of phenotype prediction from genomic data play an increasingly important role in many areas of plant and animal breeding. Thus, developing methods that enhance prediction accuracy is of major interest. Here, we provide three methods for this purpose: (1) Genomic Best Linear Unbiased Prediction (GBLUP) as a model just accounting for ...
Vojgani, Elaheh +3 more
openaire +3 more sources
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Influence of epistasis on response to genomic selection using complete sequence data
Background The effect of epistasis on response to selection is a highly debated topic. Here, we investigated the impact of epistasis on response to sequence-based selection via genomic best linear prediction (GBLUP) in a regime of strong non-symmetrical ...
Natalia S. Forneris +3 more
doaj +1 more source

