Pathway analysis through mutual information.

ABSTRACT:

Motivation

In pathway analysis, we aim to establish a connection between the activity of a particular biological pathway and a difference in phenotype. There are many available methods to perform pathway analysis, many of them rely on an upstream differential expression analysis, and many model the relations between the abundances of the analytes in a pathway as linear relationships.

Results

Here, we propose a new method for pathway analysis, MIPath, that relies on information theoretical principles and, therefore, does not model the association between pathway activity and phenotype, resulting in relatively few assumptions. For this, we construct a graph of the data points for each pathway using a nearest-neighbor approach and score the association between the structure of

SUBMITTER: Jeuken GS 

PROVIDER: S-EPMC10783954 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature