Results 181 to 190 of about 166,726 (252)
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang +10 more
wiley +1 more source
Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows. [PDF]
de Wit XM +5 more
europepmc +1 more source
Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2
Atomic‐resolution in‐situ heating microscopy directly visualizes dislocation‐mediated grain boundary migration and grain growth in monolayer MoS2. Mobile grain boundaries migrate through collective motion of Mo 5|7 dislocations, whereas S 5|7 defects remain largely immobile.
Chang‐Won Choi +11 more
wiley +1 more source
Comparing the ability of embedding methods on metabolic hypergraphs for capturing taxonomy-based features. [PDF]
Cervellini M +3 more
europepmc +1 more source
An optimized Cas9‐enriched nanopore sequencing workflow, combined with STRiker, enables simultaneous analysis of disease‐associated STR loci from patient blood. The nCATS–STRiker workflow detects repeat expansions, de novo repeat motifs, interruption patterns, and methylation in a single assay, improving the genetic diagnosis of previously undiagnosed ...
Seungbok Lee +11 more
wiley +1 more source
Single-Stage Causal Incentive Design via Optimal Interventions. [PDF]
Bejos S +3 more
europepmc +1 more source
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu +10 more
wiley +1 more source
Group-Patch Joint Compression: Compressing Dynamic B<sub>0</sub> and Static RF Spatial Modulations Across k-Space Subregion Groups for Highly Accelerated MRI. [PDF]
Tian R, Scheffler K.
europepmc +1 more source
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Polar dimming and mid-latitude brightening in a warming climate. [PDF]
Liu S +5 more
europepmc +1 more source

