Dynamics-based data science in biology
Jifan Shi, Kazuyuki Aihara, Luonan Chen
Abstract
With the increasingly accumulated bio-data, dynamics-based data-science has been progressing as an efficient way to reveal mechanisms of dynamical biological processes. We review three applications on detecting the tipping-points of diseases, quantifying cell's potency, and predicting time-series, to show the importance of dynamics-based data-science.
Topics & Concepts
Dynamics (music)Data scienceSeries (stratigraphy)Computer scienceBiologyComputational biologyStatistical physicsPhysicsAcousticsPaleontologyNeural Networks and Reservoir ComputingGene Regulatory Network AnalysisEvolution and Genetic Dynamics