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Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511764/ https://www.ncbi.nlm.nih.gov/pubmed/36155632 http://dx.doi.org/10.1186/s13578-022-00878-4 |
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author | Wu, Hongwei Liu, Fanna Shangguan, Yu Yang, Yane Shi, Wei Hu, Wenlong Zeng, Zhipeng Hu, Nan Zhang, Xinzhou Hocher, Berthold Tang, Donge Yin, Lianghong Dai, Yong |
author_facet | Wu, Hongwei Liu, Fanna Shangguan, Yu Yang, Yane Shi, Wei Hu, Wenlong Zeng, Zhipeng Hu, Nan Zhang, Xinzhou Hocher, Berthold Tang, Donge Yin, Lianghong Dai, Yong |
author_sort | Wu, Hongwei |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9511764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95117642022-09-27 Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney Wu, Hongwei Liu, Fanna Shangguan, Yu Yang, Yane Shi, Wei Hu, Wenlong Zeng, Zhipeng Hu, Nan Zhang, Xinzhou Hocher, Berthold Tang, Donge Yin, Lianghong Dai, Yong Cell Biosci Correction BioMed Central 2022-09-25 /pmc/articles/PMC9511764/ /pubmed/36155632 http://dx.doi.org/10.1186/s13578-022-00878-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Correction Wu, Hongwei Liu, Fanna Shangguan, Yu Yang, Yane Shi, Wei Hu, Wenlong Zeng, Zhipeng Hu, Nan Zhang, Xinzhou Hocher, Berthold Tang, Donge Yin, Lianghong Dai, Yong Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title | Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title_full | Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title_fullStr | Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title_full_unstemmed | Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title_short | Correction to: Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
title_sort | correction to: integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney |
topic | Correction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511764/ https://www.ncbi.nlm.nih.gov/pubmed/36155632 http://dx.doi.org/10.1186/s13578-022-00878-4 |
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