Towards multi-omics synthetic data integration
Kumar Selvarajoo, Sebastian Maurer‐Stroh
Abstract
Across many scientific disciplines, the development of computational models and algorithms for generating artificial or synthetic data is gaining momentum. In biology, there is a great opportunity to explore this further as more and more big data at multi-omics level are generated recently. In this opinion, we discuss the latest trends in biological applications based on process-driven and data-driven aspects. Moving ahead, we believe these methodologies can help shape novel multi-omics-scale cellular inferences.
Topics & Concepts
Computer scienceData scienceBig dataProcess (computing)Synthetic biologyOmicsScale (ratio)Data miningComputational biologyBioinformaticsBiologyPhysicsQuantum mechanicsOperating systemGene Regulatory Network AnalysisBioinformatics and Genomic NetworksSingle-cell and spatial transcriptomics