Results 141 to 150 of about 20,687 (298)

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

open access: yesAdvanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl   +3 more
wiley   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
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

A selection index with minimal genetic relatedness for multi-trait data via binary quadratic programming. [PDF]

open access: yesPlant Methods
Montesinos-López OA   +3 more
europepmc   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
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

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

open access: yesAdvanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu   +4 more
wiley   +1 more source

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