Results 21 to 30 of about 9,159 (181)
Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data
Background Non-destructive high-throughput plant phenotyping is becoming increasingly used and various methods for growth analysis have been proposed. Traditional longitudinal or repeated measures analyses that model growth using statistical models are ...
Chris Brien +4 more
doaj +1 more source
Responses of unicellular predators to cope with the phototoxicity of photosynthetic prey
Photosynthesis generates reactive oxygen species that can damage cells. Here, the authors show that unicellular predators of photosynthetic prey have shared responses to photosynthetic oxidative stress and these may also have been important for the ...
Akihiro Uzuka +7 more
doaj +1 more source
Cell-based crop phenotyping for future climates. [PDF]
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Shabala S +5 more
europepmc +2 more sources
Genetic ablation of Cep55 in Pten‐deficient mouse models delays tumorigenesis. Integrated multi‐omics analyses (proteomics, phosphoproteomics, and spatial transcriptomics) reveal that CEP55 regulates oncogenic signaling (RAS/ERK, PI3K/AKT), integrin/FAK‐mediated adhesion, extracellular matrix (ECM) remodeling, and endocytosis.
Behnam Rashidieh +22 more
wiley +1 more source
Sparse phenotyping for wheat grain yield enabled by multiomics prediction. [PDF]
Abstract Grain yield is a central target in wheat breeding, yet accurately predicting it remains challenging because it depends on many genes and responds strongly to environmental variation. Genomic selection (GS) has improved breeding efficiency by enabling genome‐based prediction of genetic merit, but predictability (PA) for grain yield is often ...
Gerard G +8 more
europepmc +2 more sources
This study integrates rice immune perception, signal transduction, and resistance output into a multi‐omics framework. By combining high‐throughput sequencing, phenomics, and AI‐assisted design with marker‐assisted selection, gene editing, and rapid domestication, we aim to accelerate the precise breeding of disease‐resistant rice varieties by ...
Xinyue Hou +4 more
wiley +1 more source
Correction to: Detection and analysis of wheat spikes using Convolutional Neural Networks
In the original publication of this article [1] the authors stated that important resources would be made available online to readers.
Md Mehedi Hasan +3 more
doaj +1 more source
In meiotic prophase I, homologous chromosomes are bound together by the synaptonemal complex, in which two axial elements are connected by transverse filaments and central element proteins.
Yukiko Imai +8 more
doaj +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Detection and analysis of wheat spikes using Convolutional Neural Networks
Background Field phenotyping by remote sensing has received increased interest in recent years with the possibility of achieving high-throughput analysis of crop fields.
Md Mehedi Hasan +3 more
doaj +1 more source

