Eliater

Eliater estimates the effect of a perturbation on a downstream molecule in a biomolecular network.

Key Features:

• Quantitative Effect Estimation: Eliater outputs an estimated quantitative effect of a perturbation given a biomolecular network, observational biomolecular data, and a perturbation of interest.
• Network-Based Analysis: Eliater takes a biomolecular network as input to model relationships between upstream and downstream molecules.
• Case Study Validation: Eliater has been demonstrated on the Escherichia coli transcriptional regulatory network.

Scientific Applications:

• Perturbation Effect Prediction: Eliater enables estimation of how perturbing an upstream molecule affects a downstream molecule in biomolecular networks.
• Transcriptional Regulatory Network Analysis: Eliater can be applied to study perturbation effects in transcriptional regulatory networks such as that of Escherichia coli.

Methodology:

Eliater takes as input a biomolecular network, observational biomolecular data, and a perturbation of interest, and outputs an estimated quantitative effect of the perturbation.