Results 181 to 190 of about 230,992 (300)
Missing Data Gap Imputation Methods in Electroencephalogram (EEG) Signals: A Systematic Scoping Review. [PDF]
Bergmann T +14 more
europepmc +1 more source
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
When patients' voices aren't heard: estimands and statistical methods for handling missing patient-reported outcomes in oncology studies. [PDF]
Martin EC, Lawrance R, Hind A, Cro S.
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
Benchmarking imputation accuracy in the presence or absence of a reference panel. [PDF]
Topaloudis A +10 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
Bayesian Sparse Regression for Microbiome-Metabolite Data Integration. [PDF]
Jiang K, Saha S, Peterson CB.
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
scTACL: a multitask topology-aware contrastive learning approach for single-cell transcriptomics analysis. [PDF]
Zhou M +6 more
europepmc +1 more source
B. Browning, Sharon R. Browning
semanticscholar +1 more source

