Advances in mapping tumor progression from precancer atlases
Tissue profiling technologies present opportunities for understanding transition from
precancerous lesions to malignancy, which may impact risk stratification, prevention, and …
precancerous lesions to malignancy, which may impact risk stratification, prevention, and …
Extended correlation functions for spatial analysis of multiplex imaging data
Imaging platforms for generating highly multiplexed histological images are being
continually developed and improved. Significant improvements have also been made in the …
continually developed and improved. Significant improvements have also been made in the …
The influence of resolution on the predictive power of spatial heterogeneity measures as biomarkers of liver fibrosis
J Claes, A Agten, A Blázquez-Moreno, M Crabbe… - Computers in Biology …, 2024 - Elsevier
Spatial heterogeneity of cells in liver biopsies can be used as biomarker for disease severity
of patients. This heterogeneity can be quantified by non-parametric statistics of point pattern …
of patients. This heterogeneity can be quantified by non-parametric statistics of point pattern …
SpatialQPFs: An R package for deciphering cell-cell spatial relationship
X Li - bioRxiv, 2024 - biorxiv.org
Understanding the spatial dynamics within tissue microenvironments is crucial for
deciphering cellular interactions and molecular signaling in living systems. These spatial …
deciphering cellular interactions and molecular signaling in living systems. These spatial …
[HTML][HTML] Self-supervised deep learning for highly efficient spatial immunophenotyping
Background Efficient biomarker discovery and clinical translation depend on the fast and
accurate analytical output from crucial technologies such as multiplex imaging. However …
accurate analytical output from crucial technologies such as multiplex imaging. However …