Computational and Clinical Approaches in Spatial Transcriptomic

Recent advances in spatial transcriptomics techniques enabled us to explore transcriptome in high spatial resolution and study complex mechanisms such as tumor microenvironment and disease response. Developing computational tools and frameworks are essential to understand and uncover these complex questions.

We welcome original research articles, reviews, mini-reviews, and opinion pieces related to the topic. Topics of Interest:

• Develop computational tools, algorithms, and frameworks for Spatial Transcriptomic data analysis.
• Challenges and solutions related to computational analysis of spatial transcriptomics and data integration.

We welcome original research articles, reviews, mini-reviews, and opinion pieces related to the topic.

Keywords: Spatial transcriptomics, Tumor microenvironment, therapeutic targets, heterogeneity, integrated analysis, Biomarker discovery and validation, cancer metabolism, cancer immunity, clinical oncology

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.