Frontiers

Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...
The Lancet

A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain

aDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA bDivision of Molecular Psychiatry, Department of Psychiatry, Yale University School of Medicine, ...
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 ...
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 ...
IEEE

Adaptive Weighting Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics

Abstract: The rapid advancement of spatial transcriptomics has enabled the joint analysis of gene expression and spatial location data. This integration opens new avenues for uncovering tissue ...
Cancer Research

American Association for Cancer Research

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 ...