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Title:A Novel Reverse Engineering Approach for Gene Regulatory Networks.
Conference:COMPLEX NETWORKS 2022
Tags:complex networks, gene regulatory networks, machine learning, multivariate time-series forecasting and Reverse engineering
Abstract:
Capturing the rules that govern a particular system can be useful in any field where the causes of its effects are unknown. Indeed, discovering the causes that produced a particular effect is extremely useful in fields such as biology. In this paper, a reverse engineering method based on machine learning is proposed. This method was used to replicate real world behaviour and use this knowledge to generate the relative Gene Regulatory Network. The datasets from the DREAM4 competition were used to validate this method.
A Novel Reverse Engineering Approach for Gene Regulatory Networks.
A Novel Reverse Engineering Approach for Gene Regulatory Networks.
