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1. Bayesian-Network-for-Predicting-ICB-Response Bayesian-Network-for-Predicting-ICB-Response Public

   An Artificial Intelligence project aiming to employ Bayesian Networks to quantify the probability of ICB response based on transcriptomic profiles

   Jupyter Notebook 1

2. Deep-Learning-Classification-of-Breast-Cancer-Subtypes-Based-on-Histopathological-Image-Data Deep-Learning-Classification-of-Breast-Cancer-Subtypes-Based-on-Histopathological-Image-Data Public

   This project aims to classify breast cancer into one of eight subtypes based on the BreakHist dataset that contains around 8000 images using transfer learning techniques, Squeeze-and-Excite attenti…

   Jupyter Notebook

3. Genetic-Algorithms-for-Machine-Learning-Feature-Selection Genetic-Algorithms-for-Machine-Learning-Feature-Selection Public

   This project aims to utilize genetic algorithms for selecting a subset of features that maximize the classification accuracy for supervised machine learning tasks.

   Jupyter Notebook 1

4. Identifying-genetic-variants-correlated-with-biofilm-formation-a-microbial-GWAS Identifying-genetic-variants-correlated-with-biofilm-formation-a-microbial-GWAS Public

   This project aims to identify genetic variants correlated with biofilm formation using treeWAS R package.

   R 1

5. Gene-Regulatory-Network-Analysis-between-ICB-Responders-and-Non-responders Gene-Regulatory-Network-Analysis-between-ICB-Responders-and-Non-responders Public

   Jupyter Notebook

6. PPIer-an-undirected-weighted-adjacency-matrix-C-implementation-of-a-graph-of-PPIs PPIer-an-undirected-weighted-adjacency-matrix-C-implementation-of-a-graph-of-PPIs Public

   Protein-Protein Interactions Network

   C++