Biological process activity transformation of single cell gene expression for cross-species alignment
Single cell RNA-Seq data can report on cellular types and states, but low signal-to noise and sparse data can make interpretation of cellular state difficult. Here the authors propose a transformation strategy to map RNA-Seq data to biological process activities that are species-agnostic and allow f...
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Nature Publishing Group
2019-10-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-12924-w |
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doaj-e32e60d474f14311b3573e25cb1cad5f2021-05-11T11:47:21ZengNature Publishing GroupNature Communications2041-17232019-10-011011610.1038/s41467-019-12924-wBiological process activity transformation of single cell gene expression for cross-species alignmentHongxu Ding0Andrew Blair1Ying Yang2Joshua M. Stuart3Santa Cruz Genomics Institute and Department of Biomolecular Engineering, University of CaliforniaSanta Cruz Genomics Institute and Department of Biomolecular Engineering, University of CaliforniaDepartment of Genetics and Development, Columbia University Medical CenterSanta Cruz Genomics Institute and Department of Biomolecular Engineering, University of CaliforniaSingle cell RNA-Seq data can report on cellular types and states, but low signal-to noise and sparse data can make interpretation of cellular state difficult. Here the authors propose a transformation strategy to map RNA-Seq data to biological process activities that are species-agnostic and allow for comparison across species.https://doi.org/10.1038/s41467-019-12924-w |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongxu Ding Andrew Blair Ying Yang Joshua M. Stuart |
spellingShingle |
Hongxu Ding Andrew Blair Ying Yang Joshua M. Stuart Biological process activity transformation of single cell gene expression for cross-species alignment Nature Communications |
author_facet |
Hongxu Ding Andrew Blair Ying Yang Joshua M. Stuart |
author_sort |
Hongxu Ding |
title |
Biological process activity transformation of single cell gene expression for cross-species alignment |
title_short |
Biological process activity transformation of single cell gene expression for cross-species alignment |
title_full |
Biological process activity transformation of single cell gene expression for cross-species alignment |
title_fullStr |
Biological process activity transformation of single cell gene expression for cross-species alignment |
title_full_unstemmed |
Biological process activity transformation of single cell gene expression for cross-species alignment |
title_sort |
biological process activity transformation of single cell gene expression for cross-species alignment |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2019-10-01 |
description |
Single cell RNA-Seq data can report on cellular types and states, but low signal-to noise and sparse data can make interpretation of cellular state difficult. Here the authors propose a transformation strategy to map RNA-Seq data to biological process activities that are species-agnostic and allow for comparison across species. |
url |
https://doi.org/10.1038/s41467-019-12924-w |
work_keys_str_mv |
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1721446013519003648 |