Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data
Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
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 require feature engineering, which is a crucial step...
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Full title
Deep Learning for Integrated Analysis of Insulin Resistance with Multi-Omics Data
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7918166
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7918166
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ISSN
2075-4426
E-ISSN
2075-4426
DOI
10.3390/jpm11020128
