Challenges in the Integration of Omics and Non-Omics Data

Challenges in the Integration of Omics and Non-Omics Data

Omics data integration is already a reality. However, few omics-based algorithms show enough predictive ability to be implemented into clinics or public health domains. Clinical/epidemiological data tend to explain most of the variation of health-related traits, and its joint modeling with omics dat...

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Bibliographic Details
Main Authors: Evangelina López de Maturana, Lola Alonso, Pablo Alarcón, Isabel Adoración Martín-Antoniano, Silvia Pineda, Lucas Piorno, M. Luz Calle, Núria Malats
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Genes
Subjects:
data integration
omics data
genomics
RNA expression
non-omics data
clinical data
epidemiological data
challenges
integrative analytics
joint modeling
Online Access:https://www.mdpi.com/2073-4425/10/3/238

Internet

https://www.mdpi.com/2073-4425/10/3/238

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