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For: Wang Q, Shi CJ, Lv SH. Benchmarking pathway interaction network for colorectal cancer to identify dysregulated pathways. ACTA ACUST UNITED AC 2017;50:e5981. [PMID: 28380197 PMCID: PMC5423740 DOI: 10.1590/1414-431x20175981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 02/13/2017] [Indexed: 12/22/2022]
Number Cited by Other Article(s)
1
Mahajan M, Sarkar A, Mondal S. Integrative network analysis of transcriptomics data reveals potential prognostic biomarkers for colorectal cancer. Cancer Med 2024;13:e7391. [PMID: 38872418 PMCID: PMC11176588 DOI: 10.1002/cam4.7391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/22/2024] [Accepted: 06/02/2024] [Indexed: 06/15/2024]  Open
2
Odongo R, Demiroglu-Zergeroglu A, Çakır T. A systems pharmacology approach based on oncogenic signalling pathways to determine the mechanisms of action of natural products in breast cancer from transcriptome data. BMC Complement Med Ther 2021;21:181. [PMID: 34193143 PMCID: PMC8244196 DOI: 10.1186/s12906-021-03340-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 06/02/2021] [Indexed: 12/16/2022]  Open
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