More Is Better: Recent Progress in Multi-Omics Data Integration Methods
University of Hawaii System · University of Hawaiʻi at Mānoa · +2 more institutions
Abstract
Multi-omics data integration is one of the major challenges in the era of precision medicine. Considerable work has been done with the advent of high-throughput studies, which have enabled the data access for downstream analyses. To improve the clinical outcome prediction, a gamut of software tools has been developed. This review outlines the progress done in the field of multi-omics integration and comprehensive tools developed so far in this field. Further, we discuss the integration methods to predict patient survival at the end of the review.
Citation impact
- FWCI
- 31.84
- Percentile
- 100%
- References
- 68
Authors
3- SHSijia Huang
University of Hawaii System, University of Hawaiʻi at Mānoa, Cancer Center of Hawaii, University of Hawaii Cancer Center
- KCKumardeep Chaudhary
University of Hawaiʻi at Mānoa, University of Hawaii System, Cancer Center of Hawaii, University of Hawaii Cancer Center
- LXLana X. GarmireCorresponding
University of Hawaii Cancer Center, Cancer Center of Hawaii, University of Hawaiʻi at Mānoa, University of Hawaii System
Topics & keywords
- Data integration
- Computer science
- Omics
- Software
- Data science
- Field (mathematics)
- Precision medicine
- Data mining
Funding
- HCHawaii Community FoundationAwards: NICHD R01 HD084633, 14ADVC-64566
- NINational Institutes of HealthAwards: R01 LM012373, P20 COBRE GM103457, NICHD R01, K01ES025434, HD084633, R01 HD084633
- NINational Institute of General Medical SciencesAwards: P20 COBRE GM103457, R01 LM012373, GM103457
- NINational Institute of Environmental Health SciencesAwards: LM012373, R01 LM012373, K01ES025434
- NINational Institute of Child Health and Human DevelopmentAward: HD084633
- UNU.S. National Library of MedicineAward: LM012373