Generalized and scalable trajectory inference in single-cell omics data with VIA
Scalable trajectory inference for multi-omic single cell datasets is challenging in terms of capturing non-tree complex topologies. Here the authors present a method, VIA, that scales to millions of cells across multiple omic modalities using lazy-teleporting random walks.
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Nature Portfolio
2021
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oai:doaj.org-article:9bd006f35d39495d922c8c86b7b6b9a22021-12-02T15:15:14ZGeneralized and scalable trajectory inference in single-cell omics data with VIA10.1038/s41467-021-25773-32041-1723https://doaj.org/article/9bd006f35d39495d922c8c86b7b6b9a22021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25773-3https://doaj.org/toc/2041-1723Scalable trajectory inference for multi-omic single cell datasets is challenging in terms of capturing non-tree complex topologies. Here the authors present a method, VIA, that scales to millions of cells across multiple omic modalities using lazy-teleporting random walks.Shobana V. StassenGwinky G. K. YipKenneth K. Y. WongJoshua W. K. HoKevin K. TsiaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-18 (2021) |
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Science Q Shobana V. Stassen Gwinky G. K. Yip Kenneth K. Y. Wong Joshua W. K. Ho Kevin K. Tsia Generalized and scalable trajectory inference in single-cell omics data with VIA |
description |
Scalable trajectory inference for multi-omic single cell datasets is challenging in terms of capturing non-tree complex topologies. Here the authors present a method, VIA, that scales to millions of cells across multiple omic modalities using lazy-teleporting random walks. |
format |
article |
author |
Shobana V. Stassen Gwinky G. K. Yip Kenneth K. Y. Wong Joshua W. K. Ho Kevin K. Tsia |
author_facet |
Shobana V. Stassen Gwinky G. K. Yip Kenneth K. Y. Wong Joshua W. K. Ho Kevin K. Tsia |
author_sort |
Shobana V. Stassen |
title |
Generalized and scalable trajectory inference in single-cell omics data with VIA |
title_short |
Generalized and scalable trajectory inference in single-cell omics data with VIA |
title_full |
Generalized and scalable trajectory inference in single-cell omics data with VIA |
title_fullStr |
Generalized and scalable trajectory inference in single-cell omics data with VIA |
title_full_unstemmed |
Generalized and scalable trajectory inference in single-cell omics data with VIA |
title_sort |
generalized and scalable trajectory inference in single-cell omics data with via |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/9bd006f35d39495d922c8c86b7b6b9a2 |
work_keys_str_mv |
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_version_ |
1718387524408180736 |