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1. moka moka Public

   MOKA Snakemake pipeline for GWAS incorporating user provided multi-omics data sources such as gene expression, neural network weights, transcription factor binding, and evolutionary conservation sc…

   R 9 3

2. xMLGenoRisk xMLGenoRisk Public

   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…

   Jupyter Notebook 7 2

3. collaborativebioinformatics/Disease_subsetting collaborativebioinformatics/Disease_subsetting Public

   Colorectal cancer CMs subtyping and personalized medication recommendation based on RNA seq pathway analysis

   Jupyter Notebook 9 2

4. DL_cancer_drug_response DL_cancer_drug_response Public

   Predicting patient drug responses using gene expresions, drugs SMILES and advanced deep learning techniques

   Jupyter Notebook 4 1

5. gevat gevat Public

   Genotype-Embedding-Weighted Variance-Component Test

   Python 1

6. Machine_Learning_GWAS Machine_Learning_GWAS Public

   Traditional machine learning algorithms on some genotype and phenotype files

   Python 3