Simultaneously decoding the transcriptome, epigenome and 3D genome within a single cell

The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous ...
IEEE

A Hybrid Spectral Attention-Enabled Multiscale Spatial–Spectral Learning Network for Hyperspectral Image Superresolution

Abstract: Hyperspectral image superresolution (HSI-SR) has become an essential step of data preprocessing for tasks such as classification and change detection in remote sensing. For HSI-SR tasks, the ...
The Johns Hopkins News-Letter

When cells become equations: A reflection on spatial biology

In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...
GitHub

CONCERT predicts niche-aware perturbation responses in spatial transcriptomics

Advancements in spatial perturbation transcriptomics (SPT) have revolutionized our understanding of cellular behavior in native tissue contexts by integrating spatial and perturbation data. However, ...
Frontiers

Integrated single-cell and spatial transcriptomics reveal the differentiation drivers of gastric epithelial lineage progression

Gastric cancer (GC) develops through a sequence from chronic gastritis to intestinal metaplasia (IM) and carcinoma, with Helicobacter pylori (HP) as a key driver; however, the molecular mediators ...
IEEE

Cluster-guided contrastive learning with masked autoencoder for spatial domain identification based on spatial transcriptomics

Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...