Mathematics of microRNAs: stabilizing gene regulatory networks

Stabilizing gene regulatory networks through feedforward loops.

The global dynamics of gene regulatory networks are known to show robustness to perturbations in the form of intrinsic and extrinsic noise, as well as mutations of individual genes. One molecular mechanism underlying this robustness has been identified as the action of so-called microRNAs that operate via feedforward loops. We present results of a computational study, using the modeling framewo...

Activity of microRNAs and transcription factors in Gene Regulatory Networks: Activity of microRNAs and transcription factors in Gene Regulatory Networks

MicroRNAs Robustness in Genetic Regulatory Networks

The cell is an entity composed of several thousand types of interacting proteins. Our goal is to comprehend the cancer regulation mechanisms using the microRNAs. MicroRNAs are present in almost all genetic regulatory networks acting as inhibitors targeting mRNAs. In this paper, it is shown how the Artificial Intelligence description method functioning on the basis of Inductive Logic Programming...

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes. This requires the integration of different biological disciplines as well as sophisticated mathematical and statistical tools. This study revealed that data mining techniques can be used to develop models for diagnosing high-risk or low-risk lif...

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes. This requires the integration of different biological disciplines as well as sophisticated mathematical and statistical tools. This study revealed that data mining techniques can be used to develop models for diagnosing high-risk or low-risk lif...