Spatial Bioinformatics tools for the Tumor Microenvironment

2024 | Vol-1 | Issue-1 | Date of Submission: | Date of Publication:

Abstract

Spatial profiling technologies like hyper-plex immunostaining in tissue, spatial transcriptomics etc have the potential to enable a multi-factorial, multi-modal characterization of the tissue microenvironment. Scalable, quantitative methods to analyze and interpret spatial patterns of protein staining and gene expression are required to understand cell-cell relationships in the context of local variations in tissue structure. Objective scoring methods inspired by recent advances in statistics and machine learning can serve to aid the interpretation of these datasets, as well as their integration with other, companion data like genomics. In this talk, we will discuss elements of spatial profiling & spatial biomarker discovery from multiple studies as well as paradigms from machine learning in the context of personalized medicine