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TopoMetry systematically learns and evaluates the latent geometry of single-cell data

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Published in:eLife
Format: Online Article RSS Article
Published: 2026
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discipline_display Biology
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institution FRELIP
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last_indexed 2026-07-08T03:42:57.771Z
publishDate 2026
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spellingShingle TopoMetry systematically learns and evaluates the latent geometry of single-cell data
Biology
General
Biology
sub_discipline_display General
sub_discipline_facet General
subject_display Biology
General
Biology
subject_facet Biology
General
Biology
title TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_alt TopoMetry aprende y evalúa sistemáticamente la geometría latente de datos de célula única
TopoMetry apprend et évalue systématiquement la géométrie latente des données unicellulaires
TopoMetry aprende e avalia sistematicamente a geometria latente de dados de célula única
title_auth TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_es_txt TopoMetry aprende y evalúa sistemáticamente la geometría latente de datos de célula única
title_fr_txt TopoMetry apprend et évalue systématiquement la géométrie latente des données unicellulaires
title_full TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_fullStr TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_full_unstemmed TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_pt_txt TopoMetry aprende e avalia sistematicamente a geometria latente de dados de célula única
title_short TopoMetry systematically learns and evaluates the latent geometry of single-cell data
title_sort topometry systematically learns and evaluates the latent geometry of single-cell data
topic Biology
General
Biology
url https://elifesciences.org/articles/100361