The launch marks a fundamental shift in spatial biology — from 2D thin-section approaches that analyze partial cell layers to true 3D analysis that preserves the native organization of cells, ...
On this episode of GEN Live, we deliver a full debrief on the news from AGBT—critical to understanding where NGS, spatial, single-cell, and multiomics are headed.
Phase separation in nuclear cell biology represents a conceptual framework for understanding how cells spatially and temporally regulate gene expression.
The biotechnology services provider expanded its offerings with advanced gene expression analysis technology for research ...
Abstract: Spatial transcriptomics (ST) enables spatially resolved profiling of gene expression within tissues and is commonly accompanied by paired histology images, such as high-resolution ...
Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This work is licensed under a Creative Commons Attribution 4.0 International ...
Abstract: Spatial transcriptomics technologies produce rich multimodal data, including gene expression profiles, spatial coordinates, and histological images, offering unprecedented opportunities to ...
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