More Is Better: Recent Progress in Multi-Omics Data Integration Methods

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...

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Autores principales: Huang, Sijia, Chaudhary, Kumardeep, Garmire, Lana X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472696/
https://www.ncbi.nlm.nih.gov/pubmed/28670325
http://dx.doi.org/10.3389/fgene.2017.00084
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author Huang, Sijia
Chaudhary, Kumardeep
Garmire, Lana X.
author_facet Huang, Sijia
Chaudhary, Kumardeep
Garmire, Lana X.
author_sort Huang, Sijia
collection PubMed
description 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.
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spelling pubmed-54726962017-06-30 More Is Better: Recent Progress in Multi-Omics Data Integration Methods Huang, Sijia Chaudhary, Kumardeep Garmire, Lana X. Front Genet Genetics 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. Frontiers Media S.A. 2017-06-16 /pmc/articles/PMC5472696/ /pubmed/28670325 http://dx.doi.org/10.3389/fgene.2017.00084 Text en Copyright © 2017 Huang, Chaudhary and Garmire. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Huang, Sijia
Chaudhary, Kumardeep
Garmire, Lana X.
More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title_full More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title_fullStr More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title_full_unstemmed More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title_short More Is Better: Recent Progress in Multi-Omics Data Integration Methods
title_sort more is better: recent progress in multi-omics data integration methods
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472696/
https://www.ncbi.nlm.nih.gov/pubmed/28670325
http://dx.doi.org/10.3389/fgene.2017.00084
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