PiDeeL: metabolic pathway-informed deep learning model for survival analysis and pathological classification of gliomas.

ABSTRACT:

Motivation

Online assessment of tumor characteristics during surgery is important and has the potential to establish an intra-operative surgeon feedback mechanism. With the availability of such feedback, surgeons could decide to be more liberal or conservative regarding the resection of the tumor. While there are methods to perform metabolomics-based tumor pathology prediction, their model complexity predictive performance is limited by the small dataset sizes. Furthermore, the information conveyed by the feedback provided on the tumor tissue could be improved both in terms of content and accuracy.

Results

In this study, we propose a metabolic pathway-informed deep learning model (PiDeeL) to perform survival analysis and pathology assessment based on metabolite concentration

SUBMITTER: Kaynar G 

PROVIDER: S-EPMC10663986 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature