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Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis

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Published in:IET Systems Biology
Format: Online Article RSS Article
Published: 2026
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container_title IET Systems Biology
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discipline_display Bioengineering
discipline_facet Bioengineering
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IET Systems Biology
publishDate 2026
publishDateSort 2026
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spellingShingle Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
Bioengineering
General
Bioengineering
sub_discipline_display General
sub_discipline_facet General
subject_display Bioengineering
General
Bioengineering
Bioengineering
General
Bioengineering
subject_facet Bioengineering
General
Bioengineering
title Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_auth Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_full Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_fullStr Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_full_unstemmed Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_short Machine Learning‐Based Integrative Analysis Identifies SUMOylation‐Related Genes Underlying the Immune Heterogeneity of Sepsis
title_sort machine learning‐based integrative analysis identifies sumoylation‐related genes underlying the immune heterogeneity of sepsis
topic Bioengineering
General
Bioengineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70053?af=R