Performance comparisons of AlexNet and GoogLeNet in cell growth inhibition IC50 prediction based on genomic and drug features.
- GoogLeNet_Drug.ipynb : the file describes construct of our GoogLeNet model. this file contains training step and test step for drug responsiveness prediction.
- Drug_chemical_descriptors.xlsx: the file contains a detailed description of drug chemical properties used in each column as features. This features generated by PaDEL-descriptor
- GDSC_CCLE_druglist_smile_added.xlsx : the file describes the SMILE strings of the drugs used in the GDSC and CCLE datasets.
- Mutation_position_example.xlsx: the file contains the example of the genomic informations (mutation statuses) for the cancer cell lines.
- Ms. Yeeun Lee (soirlechat@gachon.ac.kr)
- Prof. Seungyoon Nam (nams@gachon.ac.kr)