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Reversed graph embedding resolves complex single-cell trajectories
Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate deci...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764547/ https://www.ncbi.nlm.nih.gov/pubmed/28825705 http://dx.doi.org/10.1038/nmeth.4402 |
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author | Qiu, Xiaojie Mao, Qi Tang, Ying Wang, Li Chawla, Raghav Pliner, Hannah A. Trapnell, Cole |
author_facet | Qiu, Xiaojie Mao, Qi Tang, Ying Wang, Li Chawla, Raghav Pliner, Hannah A. Trapnell, Cole |
author_sort | Qiu, Xiaojie |
collection | PubMed |
description | Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. Applied to two studies of blood development, Monocle 2 revealed that mutations in key lineage transcription factors diverts cells to alternative fates. |
format | Online Article Text |
id | pubmed-5764547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-57645472018-02-21 Reversed graph embedding resolves complex single-cell trajectories Qiu, Xiaojie Mao, Qi Tang, Ying Wang, Li Chawla, Raghav Pliner, Hannah A. Trapnell, Cole Nat Methods Article Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. Applied to two studies of blood development, Monocle 2 revealed that mutations in key lineage transcription factors diverts cells to alternative fates. 2017-08-21 2017-10 /pmc/articles/PMC5764547/ /pubmed/28825705 http://dx.doi.org/10.1038/nmeth.4402 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Qiu, Xiaojie Mao, Qi Tang, Ying Wang, Li Chawla, Raghav Pliner, Hannah A. Trapnell, Cole Reversed graph embedding resolves complex single-cell trajectories |
title | Reversed graph embedding resolves complex single-cell trajectories |
title_full | Reversed graph embedding resolves complex single-cell trajectories |
title_fullStr | Reversed graph embedding resolves complex single-cell trajectories |
title_full_unstemmed | Reversed graph embedding resolves complex single-cell trajectories |
title_short | Reversed graph embedding resolves complex single-cell trajectories |
title_sort | reversed graph embedding resolves complex single-cell trajectories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764547/ https://www.ncbi.nlm.nih.gov/pubmed/28825705 http://dx.doi.org/10.1038/nmeth.4402 |
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