Results 191 to 200 of about 334,720 (282)
Random forests algorithm using basic medical data for predicting the presence of colonic polyps. [PDF]
Avram MF +6 more
europepmc +1 more source
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Prediction of gender from radiographic condylar and coronoid measurements using elastic net and random forests. [PDF]
Arthanari A +4 more
europepmc +1 more source
This study reveals the mechanism by which jasmonic acid (JA) regulates lycopene synthesis under light and dark conditions. In light, JA activates SlMYC2, which suppresses SlPIF1a and promotes SlPSY1 expression. In darkness, JA induces the acetyltransferase SlNATA1, which acetylates the dark‐accumulated SlPIF1a, thereby repressing SlPSY1 expression ...
Jiayi Xu +10 more
wiley +1 more source
Identification of Laminar Structure in the Yingxiongling Shale Oil Sediment in China with Random Forests and SHAP Analysis. [PDF]
Zhang F, Liu X, Aldrich C, Deng S, Li G.
europepmc +1 more source
This study presents the first telomere‐to‐telomere genomes and population resources for Diaporthe pathogens, uncovering the largest known fungal repertoire of secondary metabolite gene clusters. Structural variations and horizontal gene transfer drive cluster diversification, while specific rapidly evolving clusters control virulence, offering novel ...
Kainan Li +9 more
wiley +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
Leveraging Random Forests explainability for predictive modeling of children's conduct problems: insights from individual and family factors. [PDF]
Romero E +7 more
europepmc +1 more source
Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking
Aysan AF, Ciftler BS, Unal IM.
europepmc +1 more source
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li +22 more
wiley +1 more source

