Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data

Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data

Technological advances in next-generation sequencing (NGS) have made it possible to uncover extensive and dynamic alterations in diverse molecular components and biological pathways across healthy and diseased conditions. Large amounts of multi-omics data originating from emerging NGS experiments re...

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Bibliographic Details
Main Authors: Eunchong Huang, Sarah Kim, TaeJin Ahn
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Journal of Personalized Medicine
Subjects:
feature reduction
microbiome
multi-omics
prediction model
feature engineering
Online Access:https://www.mdpi.com/2075-4426/11/2/128

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