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CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants

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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:18813
institution FRELIP
journal_source_facet Bioinformatics Advances : Journal of the International Society for Computational Biology
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
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 CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_auth CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_full CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_fullStr CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_full_unstemmed CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_short CanDrivR-CS: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
title_sort candrivr-cs: a cancer-specific machine learning framework for distinguishing recurrent and rare variants
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbag008/8423453?rss=1