Results 251 to 260 of about 1,141,381 (319)

Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES

open access: yesAdvanced Science, EarlyView.
Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao   +5 more
wiley   +1 more source

Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis

open access: yesAdvanced Science, EarlyView.
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley   +1 more source

High‐Asymmetry Metasurface: A New Solution for Terahertz Resonance via Active Learning‐Augmented Diffusion Model

open access: yesAdvanced Science, EarlyView.
A prior knowledge‐guided diffusion model augmented by physics‐constrained active learning is developed to design high‐asymmetry terahertz metamaterials. Trained on only a small set of classical structures, the model efficiently generates new high‐metrics designs.
Qiqi Dai   +7 more
wiley   +1 more source

A mathematical model of metacarpal subchondral bone adaptation, microdamage and repair in racehorses. [PDF]

open access: yesJ R Soc Interface
Pan M   +6 more
europepmc   +1 more source

SpaBatch: Deep Learning‐Based Cross‐Slice Integration and 3D Spatial Domain Identification in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SpaBatch is an end‐to‐end multi‐slice spatial transcriptomics data integration framework. It simultaneously performs embedding learning, spatial feature denoising and reconstruction, batch effect correction, and spatial domain optimization, effectively correcting batch effects and achieving accurate 3D spatial domain identification.
Jinyun Niu   +5 more
wiley   +1 more source

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