Results 141 to 150 of about 160,067 (256)
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer +4 more
wiley +1 more source
A Bayesian Two-Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data. [PDF]
Wei Y, Siddique J, Spring B, Hedeker D.
europepmc +1 more source
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
High-dimensional multiple imputation for partially observed confounders including natural language processing-derived auxiliary covariates. [PDF]
Weberpals J +19 more
europepmc +1 more source
Corramycin, a myxobacterial natural product antibiotic, exhibits potent bactericidal activity against multidrug‐resistant Mycobacterium tuberculosis. The compound hijacks bacterial transporters such as BacA and OppABCD to enter the cell and inhibits DNA synthesis through a previously unrecognized mode of DNA gyrase poisoning, locking the enzyme in an ...
Franziska Fries +25 more
wiley +1 more source
Age-specific breast cancer incidence by subtype, TNM stage and screening status in Sweden 2008-2019 estimated with multiple imputation. [PDF]
Gkekos L +4 more
europepmc +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Multiple imputation of multilevel data with single-level models: A fully conditional specification approach using adjusted group means. [PDF]
Grund S, Lüdtke O, Robitzsch A.
europepmc +1 more source
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source
Multiple Imputation of Missing Covariates When Using the Fine-Gray Model. [PDF]
Bonneville EF +7 more
europepmc +1 more source

