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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
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discipline_display Bioengineering
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journal_source_facet IET Systems Biology
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publishDate 2026
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spellingShingle Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
Bioengineering
General
Bioengineering
sub_discipline_display General
sub_discipline_facet General
subject_display Bioengineering
General
Bioengineering
subject_facet Bioengineering
General
Bioengineering
title Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_alt Aplicación de una estrategia de integración rápida para datos multiómicos y un modelo de bosque aleatorio limitado en la predicción de supervivencia del glioblastoma
Application d'une stratégie d'intégration rapide pour les données multi-omiques et du modèle de forêt aléatoire limité dans la prédiction de survie du glioblastome
Aplicação de Estratégia de Integração Rápida para Dados Multi-Ômicos e Modelo de Floresta Aleatória Limitada na Predição de Sobrevida de Glioblastoma
title_auth Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
title_es_txt Aplicación de una estrategia de integración rápida para datos multiómicos y un modelo de bosque aleatorio limitado en la predicción de supervivencia del glioblastoma
title_fr_txt Application d'une stratégie d'intégration rapide pour les données multi-omiques et du modèle de forêt aléatoire limité dans la prédiction de survie du glioblastome
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_pt_txt Aplicação de Estratégia de Integração Rápida para Dados Multi-Ômicos e Modelo de Floresta Aleatória Limitada na Predição de Sobrevida de 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
General
Bioengineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70062?af=R