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Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles

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Colon-Cancer

Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles - Predicting the Predisposition to Colorectal Cancer based on SNP Profiles of Immune Checkpoints using Supervised Learning Models. 7th International Congress of Molecular Medicine, Istanbul / Turkey.

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 to improve public health.

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Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles

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