Multifractal patterns across deep time: What measurement density reveals about Earth's history

Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...
Technology Networks

Clinical Multi-Omics Approaches for Systems Medicine and Biomarker Discovery

Explore how clinical multi-omics integration drives systems medicine, detailing data fusion methodologies and lab ...

Bruker Announces Major Advancements at AGBT to Enable Complete High-Fidelity Spatial Biology Across the Biological Spectrum

Bruker Corporation (Nasdaq: BRKR) announced today significant portfolio advancements from Bruker Spatial Biology to be unveiled at the 2026 Advances in Genome Biology and Technology (AGBT) General ...
IEEE

CSMVL: Cluster Structure Aware Multi-View Representation Learning for Domain Identification in Spatial Transcriptomics

Abstract: Spatial Transcriptomics offers unprecedented opportunities to explore tissue architecture by capturing gene expression with spatial context. However, effectively learning discriminative and ...
Technology Networks

Bringing Tissue Biology Into 3D: Redefining What’s Possible in Spatial Multiomics

Advances in 3D spatial multiomics are changing how researchers study tissue architecture. We spoke with Stellaromics' CEO, Dr. Todd Dickinson, to learn how this approach preserves structure and ...
IEEE

STCF: Multi-View Clustering for Spatial Transcriptomics Based on Cross-View Fusion

Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...
Frontiers

DWGCN: distance-weighted graph convolutional network for robust spatial domain identification in spatial transcriptomics

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
BioTechniques

Innovative new tools map cell communication from spatial transcriptomics data

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...
BioSpace

Stellaromics Expands Pyxa™ 3D Spatial Transcriptomics Beta Program with Installation at Emory University School of Medicine

Dr. Hailing Shi to apply 3D spatial multi-omics to decode RNA regulation in the human brain and neurodegenerative diseases BOSTON, Jan. 28, 2026 /PRNewswire/ -- Stellaromics, a pioneer in ...
Frontiers

Editorial: Unraveling immune metabolism: single-cell & spatial transcriptomics illuminate disease dynamics

The interplay between cellular metabolism and immune function—immunometabolism—has emerged as a cornerstone of modern pathology (1). Immune cells are not static entities; they continuously adapt their ...
eLife

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.