Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Improving Latent Trait Estimation in Multidimensional Forced Choice Measures: Latent Regression Multi-Unidimensional Pairwise Preference Model. [PDF]
Joo S, Lee P, Stark S.
europepmc +1 more source
Breeding Practices and Trait Preferences of Sheep Farmers in a Sub-Humid Tropical Environment
Abdulmojeed Yakubu +4 more
openalex +2 more sources
Plants are promising materials for building sustainable and eco‐friendly robots due to their inherent multifunctionality, with actuation playing a crucial role. This article focuses on the physical movements of plants and, from the perspective of actuation characteristics, explores representative plant species and their behaviors, the current state of ...
Kazuya Murakami +8 more
wiley +1 more source
Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution. [PDF]
Kang H +6 more
europepmc +1 more source
Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner +3 more
wiley +1 more source
The Effects of Trait Anxiety and Emotional Word Type on the Processing of Chinese Words: An ERP Study. [PDF]
Liu J, Fan L.
europepmc +1 more source
Microbial life-history strategies and genomic traits between pristine and cropland soils
Dan He +8 more
openalex +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
scVMAP: a comprehensive platform for integrating single-cell chromatin accessibility regions with causal variants. [PDF]
Yu ZM +13 more
europepmc +1 more source

