Impact of measurement noise, experimental design, and estimation methods on Modular Response Analysis based network reconstruction.

ABSTRACT: Modular Response Analysis (MRA) is a method to reconstruct signalling networks from steady-state perturbation data which has frequently been used in different settings. Since these data are usually noisy due to multi-step measurement procedures and biological variability, it is important to investigate the effect of this noise onto network reconstruction. Here we present a systematic study to investigate propagation of noise from concentration measurements to network structures. Therefore, we design an in silico study of the MAPK and the p53 signalling pathways with realistic noise settings. We make use of statistical concepts and measures to evaluate accuracy and precision of individual inferred interactions and resulting network structures. Our results allow to derive clear recommendatio

SUBMITTER: Thomaseth C 

PROVIDER: S-EPMC6212399 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature