Dynamical network biomarkers: Theory and applications
Kazuyuki Aihara, Rui Liu, Keiichi Koizumi, Xiaoping Liu, Luonan Chen
Abstract
This paper reviews theory of DNB (Dynamical Network Biomarkers) and its applications including both modern medicine and traditional medicine. We show that omics data such as gene/protein expression profiles can be effectively used to detect pre-disease states before critical transitions from healthy states to disease states by using the DNB theory. The DNB theory with big biological data is expected to lead to ultra-early precision and preventive medicine.
Topics & Concepts
BiologyComputational biologySystems medicineNetwork theoryPrecision medicineSystems biologyDiseaseGene regulatory networkData scienceBioinformaticsGene expressionGeneGeneticsComputer scienceMathematicsStatisticsInternal medicineMedicineGene Regulatory Network AnalysisMental Health Research TopicsBioinformatics and Genomic Networks