Computational Data Mining in Cancer


Through the use of computer and data sciences, which include data mining, analytics, machine learning, and advantages in imaging technology and probe development, computational data mining has the capacity to comprehend the challenges of cancer-related data that have been brought about by their application. In order to identify significant temporal patterns, the distinctive molecular characteristics of tumour states, and other relevant aspects, such as tumour heterogeneity and identification, progression and metastasis, and drug resistance, computational modelling and simulation are orderly and less expensive tools.



 



 


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