Results 101 to 110 of about 68,669 (249)

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi‐Trait Genomic Prediction and Adaptive Marker Prioritisation

open access: yesPlant Biotechnology Journal, EarlyView.
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

Synergistic epistasis among cancer drivers can rescue early tumors from the accumulation of deleterious passengers.

open access: yesPLoS Computational Biology
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]

open access: yes, 2009
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

Mapping and Functional Characterization of Homologous Genes AhSUCA06 and AhSUCA16 Underlying Sucrose, Oil and Protein Contents in Peanut (Arachis hypogaea L.)

open access: yesPlant Biotechnology Journal, EarlyView.
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

A Low Resolution Epistasis Mapping Approach To Identify Chromosome Arm Interactions in Allohexaploid Wheat

open access: yesG3: Genes, Genomes, Genetics, 2019
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]

open access: yesPLoS ONE, 2016
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

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2018
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

open access: yes, 2021
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

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

open access: yesGenetics Selection Evolution, 2017
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

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