MIAMI: Mutual Information-based Analysis of Multiplex Imaging data.

ABSTRACT:

Motivation

Studying the interaction or co-expression of the proteins or markers in the tumor microenvironment (TME) of cancer subjects can be crucial in the assessment of risks, such as death or recurrence. In the conventional approach, the cells need to be declared positive or negative for a marker based on its intensity. For multiple markers, manual thresholds are required for each marker, which can become cumbersome. The performance of the subsequent analysis relies heavily on this step and thus suffers from subjectivity and lacks robustness.

Results

We present a new method where different marker intensities are viewed as dependent random variables, and the mutual information (MI) between them is considered to be a metric of co-expression. Estimation of the joint density,

SUBMITTER: Seal S 

PROVIDER: S-EPMC9344855 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature