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DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning

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Bibliographic Details
Published in:Bioinformatics Advances : Journal of the International Society for Computational Biology
Format: Online Article RSS Article
Published: 2026
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container_title Bioinformatics Advances : Journal of the International Society for Computational Biology
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:18789
institution FRELIP
journal_source_facet Bioinformatics Advances : Journal of the International Society for Computational Biology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
Biology
Natural Sciences — Life Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Life Sciences
sub_discipline_facet Natural Sciences — Life Sciences
subject_display Biology
Natural Sciences — Life Sciences
Natural Sciences
Biology
Natural Sciences — Life Sciences
Natural Sciences
subject_facet Biology
Natural Sciences — Life Sciences
Natural Sciences
title DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_auth DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_full DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_fullStr DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_full_unstemmed DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_short DeepFRAG: a method for cancer detection based on DNA fragmentomics and deep learning
title_sort deepfrag: a method for cancer detection based on dna fragmentomics and deep learning
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbag024/8512738?rss=1