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SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets

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Bibliographic Details
Published in:GigaScience
Format: Online Article RSS Article
Published: 2026
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discipline_display Natural Sciences
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institution FRELIP
journal_source_facet GigaScience
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
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 SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_auth SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_full SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_fullStr SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_full_unstemmed SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_short SpaceBF: spatial coexpression analysis using Bayesian fused approaches in spatial omics datasets
title_sort spacebf: spatial coexpression analysis using bayesian fused approaches in spatial omics datasets
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url https://academic.oup.com/gigascience/article/doi/10.1093/gigascience/giag006/8431409?rss=1