Using Interactive Time-series Cluster Analysis to Relate Metabolomic Data with Perturbed Pathways

The study conducted on interactive time-series cluster analysis has shed light the dynamic nature of interaction that exists between metabolites and activities occur within living organisms. Integration metabolomic data with pathways had been disrupted was method used to achieve this goal. We investigated significance metabolomics in biological systems, fundamentals applications analysis, connection have altered various sections research paper, such as introduction, literature review, methodology, results, discussion, recommendations. These include: introduction; review; methodology; results; discussion; suggestions are included these parts.