Survival analysis for the identified cancer gene subtype from the co-clustering algorithm

• Main Authors: Logenthiran, Machap, Kohbalan, Moorthy
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/39408/1/Survival%20analysis%20for%20the%20identified%20cancer%20gene%20subtype%20from%20the%20co.pdf; http://umpir.ump.edu.my/id/eprint/39408/2/Survival%20analysis%20for%20the%20identified%20cancer%20gene%20subtype%20from%20the%20co-clustering%20algorithm_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39408/; https://doi.org/10.1109/ICECET55527.2022.9872811

Cancer gene subtype information is significant for understanding tumour heterogeneity. The early detection of cancer and subsequent treatment can be lifesaving. However, it is hard clinically and computationally to detect cancer and its subtypes in their early stages. Therefore, we extend the analys...