Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer.

ABSTRACT:

Background

Elucidation of regulatory networks, including identification of regulatory mechanisms specific to a given biological context, is a key aim in systems biology. This has motivated the move from co-expression to differential co-expression analysis and numerous methods have been developed subsequently to address this task; however, evaluation of methods and interpretation of the resulting networks has been hindered by the lack of known context-specific regulatory interactions.

Results

In this study, we develop a simulator based on dynamical systems modelling capable of simulating differential co-expression patterns. With the simulator and an evaluation framework, we benchmark and characterise the performance of inference methods. Defining three different levels of "tr

SUBMITTER: Bhuva DD 

PROVIDER: S-EPMC6857226 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature