Results 141 to 150 of about 178,240 (253)
Migration Status Gradients in Immigrant Poverty: A Comparison of Imputation Methods. [PDF]
Spence C +4 more
europepmc +1 more source
Empirical Comparison of Imputation Methods for Multivariate Missing Data in Public Health. [PDF]
Pan S, Chen S.
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
Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing. [PDF]
Valyaeva AA, Tochilkina MS, Sheval EV.
europepmc +1 more source
Review and evaluation of imputation methods for multivariate longitudinal data with mixed-type incomplete variables. [PDF]
Cao Y, Allore H, Vander Wyk B, Gutman R.
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
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
Missing Data in OHCA Registries: How Imputation Methods Affect Research Conclusions-Paper I. [PDF]
Zhan SJ +3 more
europepmc +1 more source
The Impact of Missing Data and Imputation Methods on the Analysis of 24-Hour Activity Patterns. [PDF]
Weed L, Lok R, Chawra D, Zeitzer J.
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

