Human-Gene-Function-Prediction
This project was done in my Bioinformatics class for predicting human gene annotation from human gene cancer cell lines. Our approach achieved best ROC-AUC on all submissions. Check Human_Gene_Function_Prediction.pdf for project report.
NN+Stacking.ipynb and RandomForest.ipynb are notebooks for running Multi-Layers Perceptron, Stacking and RandomForest. GO_Term_Separate20.py is the file for calculating easiest and hardest to predict Gene Annotations.