Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles
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Updated
Mar 4, 2021 - Jupyter Notebook
Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles
The goal of this analysis is to explore the machine learning-based automatic diagnosis of colorectal patients based on the single nucleotide polymorphisms (SNP). Such a computational approach may be used complementary to other diagnosis tools, such as, biopsy, CT scan, and MRI. Moreover, it may be used as a low-cost screening for colorectal cancers
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