Repositories list

• prostate_cancer_genetic_association_risk_pred

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  Machine Learning approach for genetic risk prediction. I applied a modified, XGBoost algorithm and an iterative SNP selection algorithm to find the top features (SNPs) that best predict the risk of developing prostate cancer with a linear Support Vector Machine (SVM).

  Jupyter Notebook

  •2•0•0•0•Updated Sep 15, 2023Sep 15, 2023

• SmallJobs

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  •0•0•0•8•Updated Feb 2, 2023Feb 2, 2023

• kiifeed

  Public
  PHP

  •0•0•0•23•Updated Jan 6, 2023Jan 6, 2023