/GoogLeNet_Drug

Performance comparisons of AlexNet and GoogLeNet in cell growth inhibition IC50 prediction based on genomic and drug features

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GoogLeNet_Drug

Performance comparisons of AlexNet and GoogLeNet in cell growth inhibition IC50 prediction based on genomic and drug features.

Code description

  • 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.

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