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Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer

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Published in:Discover Oncology
Format: Online Article RSS Article
Published: 2026
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container_title Discover Oncology
description
discipline_display Endocrinology
discipline_facet Endocrinology
format Online Article
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genre Journal Article
id rss_article:99661
institution FRELIP
journal_source_facet Discover Oncology
last_indexed 2026-07-05T03:33:35.377Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
Endocrinology
General
Endocrinology
sub_discipline_display General
sub_discipline_facet General
subject_display Endocrinology
General
Endocrinology
subject_facet Endocrinology
General
Endocrinology
title Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_alt Identificación de una firma de genes relacionados con exosomas basada en bioinformática y aprendizaje automático para la predicción pronóstica en cáncer colorrectal
Identification d'une signature de gènes liés aux exosomes basée sur la bioinformatique et l'apprentissage automatique pour la prédiction pronostique dans le cancer colorectal
Identificação de assinatura de genes relacionados a exossomos baseada em bioinformática e aprendizado de máquina para predição prognóstica em câncer colorretal
title_auth Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_es_txt Identificación de una firma de genes relacionados con exosomas basada en bioinformática y aprendizaje automático para la predicción pronóstica en cáncer colorrectal
title_fr_txt Identification d'une signature de gènes liés aux exosomes basée sur la bioinformatique et l'apprentissage automatique pour la prédiction pronostique dans le cancer colorectal
title_full Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_fullStr Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_full_unstemmed Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_pt_txt Identificação de assinatura de genes relacionados a exossomos baseada em bioinformática e aprendizado de máquina para predição prognóstica em câncer colorretal
title_short Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
title_sort identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer
topic Endocrinology
General
Endocrinology
url https://link.springer.com/article/10.1007/s12672-026-05522-y