Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology.

ABSTRACT: Advancements in imaging technologies have revolutionized our ability to deeply profile pathological tissue architectures, generating large volumes of imaging data with unparalleled spatial resolution. This type of data collection, namely, spatial proteomics, offers invaluable insights into various human diseases. Simultaneously, computational algorithms have evolved to manage the increasing dimensionality of spatial proteomics inherent in this progress. Numerous imaging-based computational frameworks, such as computational pathology, have been proposed for research and clinical applications. However, the development of these fields demands diverse domain expertise, creating barriers to their integration and further application. This review seeks to bridge this divide by presenting a compre

SUBMITTER: Mi H 

PROVIDER: S-EPMC11343572 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature