Poincaré maps for analyzing complex hierarchies in single-cell data

Poincaré maps for analyzing complex hierarchies in single-cell data

The discovery of hierarchies in biological processes is central to developmental biology. Here the authors propose Poincaré maps, a method based on hyperbolic geometry to discover continuous hierarchies from pairwise similarities.

Bibliographic Details
Main Authors: Anna Klimovskaia, David Lopez-Paz, Léon Bottou, Maximilian Nickel
Format: Article
Language:English
Published: Nature Publishing Group 2020-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-16822-4
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spelling doaj-d26503839ec34d59b49e180b57c330532021-06-13T11:18:10ZengNature Publishing GroupNature Communications2041-17232020-06-011111910.1038/s41467-020-16822-4Poincaré maps for analyzing complex hierarchies in single-cell dataAnna Klimovskaia0David Lopez-Paz1Léon Bottou2Maximilian Nickel3Facebook AIFacebook AIFacebook AIFacebook AIThe discovery of hierarchies in biological processes is central to developmental biology. Here the authors propose Poincaré maps, a method based on hyperbolic geometry to discover continuous hierarchies from pairwise similarities.https://doi.org/10.1038/s41467-020-16822-4
collection DOAJ
language English
format Article
sources DOAJ
author Anna Klimovskaia
David Lopez-Paz
Léon Bottou
Maximilian Nickel
spellingShingle Anna Klimovskaia
David Lopez-Paz
Léon Bottou
Maximilian Nickel
Poincaré maps for analyzing complex hierarchies in single-cell data
Nature Communications
author_facet Anna Klimovskaia
David Lopez-Paz
Léon Bottou
Maximilian Nickel
author_sort Anna Klimovskaia
title Poincaré maps for analyzing complex hierarchies in single-cell data
title_short Poincaré maps for analyzing complex hierarchies in single-cell data
title_full Poincaré maps for analyzing complex hierarchies in single-cell data
title_fullStr Poincaré maps for analyzing complex hierarchies in single-cell data
title_full_unstemmed Poincaré maps for analyzing complex hierarchies in single-cell data
title_sort poincaré maps for analyzing complex hierarchies in single-cell data
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-06-01
description The discovery of hierarchies in biological processes is central to developmental biology. Here the authors propose Poincaré maps, a method based on hyperbolic geometry to discover continuous hierarchies from pairwise similarities.
url https://doi.org/10.1038/s41467-020-16822-4
work_keys_str_mv AT annaklimovskaia poincaremapsforanalyzingcomplexhierarchiesinsinglecelldata
AT davidlopezpaz poincaremapsforanalyzingcomplexhierarchiesinsinglecelldata
AT leonbottou poincaremapsforanalyzingcomplexhierarchiesinsinglecelldata
AT maximiliannickel poincaremapsforanalyzingcomplexhierarchiesinsinglecelldata
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