Towards multi-omics synthetic data integration.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38711370.
- Also identified by DOI 10.1093/bib/bbae213 and PMC identifier 11074586.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Computational Biology
- Algorithms