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More is better: Recent progress in multi-omics data integration methods

  • Sijia Huang
  • , Kumardeep Chaudhary
  • , Lana X. Garmire

Research output: Contribution to journal › Short survey › peer-review

624 Scopus citations

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.

Original languageEnglish
Article number84
JournalFrontiers in Genetics
Volume8
Issue numberJUN
DOIs
StatePublished - 2017
Externally publishedYes

Keywords

  • Integration
  • Multi-omics
  • Precision medicine
  • Prediction
  • Prognosis
  • Supervised learning
  • Unsupervised learning

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