Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes

Manish Pratap Singh; Sandhya Rai; Sarvesh K. Gupta; Nand K. Singh; Sameer Srivastava

doi:10.1016/j.gendis.2023.01.023

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Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes

Rapid Communications | 更新时间：2024-02-04

- Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes
- Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes
- Genes & Diseases 2023年1卷第6期页码：2270-2273
- 作者机构：
  
  1. Motilal Nehru National Institute of Technology Allahabad, Prayagraj,India,211004
  2. Deen Dayal Upadhyay Gorakhpur University, Gorakhpur,India,273001
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gendis.2023.01.023
  中图分类号：
- 纸质出版日期：2023，
  
  网络出版日期：2023-11-1，
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Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes[J]. Genes & Diseases, 2023,1(6):2270-2273.

Manish Pratap Singh, Sandhya Rai, Sarvesh K. Gupta, et al. Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes[J]. Genes & Diseases, 2023,1(6):2270-2273.
Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes[J]. Genes & Diseases, 2023,1(6):2270-2273. DOI： 10.1016/j.gendis.2023.01.023.

Manish Pratap Singh, Sandhya Rai, Sarvesh K. Gupta, et al. Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes[J]. Genes & Diseases, 2023,1(6):2270-2273. DOI： 10.1016/j.gendis.2023.01.023.

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1 S.D. Markowitz, M.M. BertagnolliMolecular origins of cancer: molecular basis of colorectal cancer N Engl J Med, 361 (25) (2009), pp. 2449-2460

2 R.V. Purcell, S. Schmeier, Y.C. Lau, et al.Molecular subtyping improves prognostication of Stage 2 colorectal cancer BMC Cancer, 19 (2019), p. 1155

3 A. Sadanandam, X. Wang, F. de Sousa E Melo, et al.Reconciliation of classification systems defining molecular subtypes of colorectal cancer Cell Cycle, 13 (3) (2014), pp. 353-357

4 M.P. Singh, S. Rai, A. Pandey, et al.Molecular subtypes of colorectal cancer: an emerging therapeutic opportunity for personalized medicine Genes Dis, 8 (2) (2021), pp. 133-145

5 E. Alwers, M. Jia, M. Kloor, et al.Associations between molecular classifications of colorectal cancer and patient survival: a systematic review Clin Gastroenterol Hepatol, 17 (3) (2019), pp. 402-410

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