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Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction

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Published in:Cell & Bioscience
Format: Online Article RSS Article
Published: 2026
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container_title Cell & Bioscience
description
discipline_display Bioengineering
discipline_facet Bioengineering
format Online Article
RSS Article
genre Journal Article
id rss_article:82683
institution FRELIP
journal_source_facet Cell & Bioscience
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
Bioengineering
General
Bioengineering
sub_discipline_display General
sub_discipline_facet General
subject_display Bioengineering
General
Bioengineering
Bioengineering
General
Bioengineering
subject_facet Bioengineering
General
Bioengineering
title Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_auth Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_full Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_fullStr Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_full_unstemmed Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_short Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction
title_sort decoding the role of h19 in cholestatic liver injury using snrna-seq, spatial transcriptomics, and machine learning-based disease prediction
topic Bioengineering
General
Bioengineering
url https://link.springer.com/article/10.1186/s13578-026-01590-3