Optimisation Models for Pathway Activity Inference in Cancer.

ABSTRACT:

Background

With advances in high-throughput technologies, there has been an enormous increase in data related to profiling the activity of molecules in disease. While such data provide more comprehensive information on cellular actions, their large volume and complexity pose difficulty in accurate classification of disease phenotypes. Therefore, novel modelling methods that can improve accuracy while offering interpretable means of analysis are required. Biological pathways can be used to incorporate a priori knowledge of biological interactions to decrease data dimensionality and increase the biological interpretability of machine learning models.

Methodology

A mathematical optimisation model is proposed for pathway activity inference towards precise disease phenotype predi

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10046797 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature