Results 181 to 190 of about 99,307 (266)
Evaluating reference-mixture matching in cell-type deconvolution with single-cell RNA-seq references. [PDF]
Zhao Y, Vestal BE, Moore CM.
europepmc +1 more source
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
The weakly‐solvating TFMSPyr electrolyte tailors the Li+ solvation structure by suppressing solvent coordination and promoting anion‐dominated solvation. This unique solvation environment induces preferential anion decomposition at electrode interfaces, forming robust inorganic rich S/CEI.
Bishnu P. Thapaliya +11 more
wiley +1 more source
Deconvolution of High-Dimensional Ion Mobility Data Using Reversible-Jump Markov Chain Monte Carlo. [PDF]
Riedel J +3 more
europepmc +1 more source
Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu +4 more
wiley +1 more source
Dual deconvolution in multiphoton structured illumination microscopy for deep-tissue super-resolution imaging. [PDF]
Lim S +8 more
europepmc +1 more source
A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao +6 more
wiley +1 more source
A cellular epigenetic classification system for glioblastoma. [PDF]
Silverbush D +7 more
europepmc +1 more source
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source

