Computational approaches leveraging integrated connections of multi-omic data toward clinical applications-Reference-Cited by-同舟云学术

Computational approaches leveraging integrated connections of multi-omic data toward clinical applications

Published:2022 Issue:1 Volume:18 Page:7-18
ISSN:2515-4184
Container-title:Molecular Omics
language:en
Short-container-title:Mol. Omics

Author:

Demirel Habibe Cansu¹^ORCID,Arici Muslum Kaan¹²^ORCID,Tuncbag Nurcan³⁴⁵^ORCID

Affiliation:

1. Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey

2. Foot and Mouth Diseases Institute, Ministry of Agriculture and Forestry, Ankara, 06044, Turkey

3. Chemical and Biological Engineering, College of Engineering, Koc University, Istanbul, 34450, Turkey

4. School of Medicine, Koc University, Istanbul, 34450, Turkey

5. Koc University Research Center for Translational Medicine (KUTTAM), Istanbul, Turkey

Abstract

Data integration approaches are crucial for transforming multi-omic data sets into clinically interpretable knowledge. This review presents a detailed and extensive guideline to catalog the recent computational multi-omic data integration methods.

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/MO/D1MO00158B

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