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Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma

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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
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:13726
institution FRELIP
journal_source_facet IET Systems Biology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
Bioengineering
Bioengineering
Technology & Engineering
sub_discipline_display Bioengineering
sub_discipline_facet Bioengineering
subject_display Bioengineering
Bioengineering
Technology & Engineering
Bioengineering
Bioengineering
Technology & Engineering
subject_facet Bioengineering
Bioengineering
Technology & Engineering
title Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_auth Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_full Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_fullStr Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_full_unstemmed Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_short Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_sort application of fast integration strategy for multi‐omics data and limited random forest model in survival prediction of glioblastoma
topic Bioengineering
Bioengineering
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70062?af=R