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SpatialDE: identification of spatially variable genes
Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here, we develop SpatialDE, a statistical test to identify genes with spatial patterns of expression variation from multiplexed i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350895/ https://www.ncbi.nlm.nih.gov/pubmed/29553579 http://dx.doi.org/10.1038/nmeth.4636 |
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author | Svensson, Valentine Teichmann, Sarah A Stegle, Oliver |
author_facet | Svensson, Valentine Teichmann, Sarah A Stegle, Oliver |
author_sort | Svensson, Valentine |
collection | PubMed |
description | Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here, we develop SpatialDE, a statistical test to identify genes with spatial patterns of expression variation from multiplexed imaging or spatial RNA sequencing data. SpatialDE also implements “automatic expression histology”, a spatial gene clustering approach that enables expression-based tissue histology. |
format | Online Article Text |
id | pubmed-6350895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-63508952019-01-29 SpatialDE: identification of spatially variable genes Svensson, Valentine Teichmann, Sarah A Stegle, Oliver Nat Methods Article Technological advances have made it possible to measure spatially resolved gene expression at high throughput. However, methods to analyze these data are not established. Here, we develop SpatialDE, a statistical test to identify genes with spatial patterns of expression variation from multiplexed imaging or spatial RNA sequencing data. SpatialDE also implements “automatic expression histology”, a spatial gene clustering approach that enables expression-based tissue histology. 2018-03-19 2018-05 /pmc/articles/PMC6350895/ /pubmed/29553579 http://dx.doi.org/10.1038/nmeth.4636 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 Svensson, Valentine Teichmann, Sarah A Stegle, Oliver SpatialDE: identification of spatially variable genes |
title | SpatialDE: identification of spatially variable genes |
title_full | SpatialDE: identification of spatially variable genes |
title_fullStr | SpatialDE: identification of spatially variable genes |
title_full_unstemmed | SpatialDE: identification of spatially variable genes |
title_short | SpatialDE: identification of spatially variable genes |
title_sort | spatialde: identification of spatially variable genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350895/ https://www.ncbi.nlm.nih.gov/pubmed/29553579 http://dx.doi.org/10.1038/nmeth.4636 |
work_keys_str_mv | AT svenssonvalentine spatialdeidentificationofspatiallyvariablegenes AT teichmannsaraha spatialdeidentificationofspatiallyvariablegenes AT stegleoliver spatialdeidentificationofspatiallyvariablegenes |