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Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chongqing Medical University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404974/ https://www.ncbi.nlm.nih.gov/pubmed/37554193 http://dx.doi.org/10.1016/j.gendis.2023.01.023 |
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author | Singh, Manish Pratap Rai, Sandhya Gupta, Sarvesh K. Singh, Nand K. Srivastava, Sameer |
author_facet | Singh, Manish Pratap Rai, Sandhya Gupta, Sarvesh K. Singh, Nand K. Srivastava, Sameer |
author_sort | Singh, Manish Pratap |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10404974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Chongqing Medical University |
record_format | MEDLINE/PubMed |
spelling | pubmed-104049742023-08-08 Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes Singh, Manish Pratap Rai, Sandhya Gupta, Sarvesh K. Singh, Nand K. Srivastava, Sameer Genes Dis Rapid Communication Chongqing Medical University 2023-03-24 /pmc/articles/PMC10404974/ /pubmed/37554193 http://dx.doi.org/10.1016/j.gendis.2023.01.023 Text en © 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Rapid Communication Singh, Manish Pratap Rai, Sandhya Gupta, Sarvesh K. Singh, Nand K. Srivastava, Sameer Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title | Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title_full | Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title_fullStr | Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title_full_unstemmed | Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title_short | Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
title_sort | unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes |
topic | Rapid Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404974/ https://www.ncbi.nlm.nih.gov/pubmed/37554193 http://dx.doi.org/10.1016/j.gendis.2023.01.023 |
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