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MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique

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Published in:PLoS Computational Biology
Format: Online Article RSS Article
Published: 2026
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container_title PLoS Computational Biology
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
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genre Journal Article
id rss_article:90657
institution FRELIP
journal_source_facet PLoS Computational Biology
last_indexed 2026-06-12T02:00:46.663Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_auth MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_full MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_fullStr MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_full_unstemmed MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_short MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique
title_sort microrna target gene prediction model based on input-feature dependency and sample data expansion technique
topic Computer Science
General
Computer Science
url https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1014402