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Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy
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/PMC9115915/ https://www.ncbi.nlm.nih.gov/pubmed/35585548 http://dx.doi.org/10.1186/s12943-022-01592-y |
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author | Gao, Hua Baylis, Richard A. Luo, Lingfeng Kojima, Yoko Bell, Caitlin F. Ross, Elsie G. Wang, Fudi Leeper, Nicholas J. |
author_facet | Gao, Hua Baylis, Richard A. Luo, Lingfeng Kojima, Yoko Bell, Caitlin F. Ross, Elsie G. Wang, Fudi Leeper, Nicholas J. |
author_sort | Gao, Hua |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9115915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91159152022-05-19 Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy Gao, Hua Baylis, Richard A. Luo, Lingfeng Kojima, Yoko Bell, Caitlin F. Ross, Elsie G. Wang, Fudi Leeper, Nicholas J. Mol Cancer Letter to the Editor BioMed Central 2022-05-18 /pmc/articles/PMC9115915/ /pubmed/35585548 http://dx.doi.org/10.1186/s12943-022-01592-y 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 | Letter to the Editor Gao, Hua Baylis, Richard A. Luo, Lingfeng Kojima, Yoko Bell, Caitlin F. Ross, Elsie G. Wang, Fudi Leeper, Nicholas J. Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title | Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title_full | Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title_fullStr | Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title_full_unstemmed | Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title_short | Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
title_sort | clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115915/ https://www.ncbi.nlm.nih.gov/pubmed/35585548 http://dx.doi.org/10.1186/s12943-022-01592-y |
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