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...
Paper Details
Title
Impact of measurement noise, experimental design, and estimation methods on Modular Response Analysis based network reconstruction
Published Date
Nov 1, 2018
Journal
Volume
8
Issue
1
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