Article

Extreme gradient boosting machine learning algorithm identifies genome-wide genetic variants in prostate cancer risk prediction

2023-11-01

Abstract excerpt

Genome-wide association studies (GWAS) identify the variants (Single Nucleotide polymorphisms) associated with a disease phenotype within populations. These genetic differences are essential in variations in incidence and mortalities, especially for Prostate cancer in the African population. Given the complexity of cancer, it is imperative to identify the variants that contribute to the development of the disease....

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Literature Corpus work: 8aa69a78-49d2-51f6-93d4-27ec4a2c7a5a
DOI: 10.1101/2023.10.27.564373

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