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PredictingGeneticvariations

Classification of Genetic Mutations based Clinical text so as to predict their effects on Personalized Medicine

To run this code, you will need:

  • Numpy - Version: 1.14.3
  • Pandas - Version: 0.22.0
  • Seaborn - Version: 0.8.1
  • Matplotlib - Version: 2.2.2
  • NLTK, Regex, Sklearn, and lightgbm modules

To execute the classifier:

Download the repository and run the Genetic_Variations.py file.
Change the path to the dataset as per your system! The dataset is in the repository:

  • Training Variants - Contains the description of the genetic mutations for training
  • Training Text - Contains the clinical evidence to classify the mutations.
  • Test variants - Contains the description of the genetic mutations for testing. Test Text - Contains the clinical evidence to classify the mutations. The sample submissions file holds the classification results.

Dataset - Personalized Medicine - Redefining Cancer Treatment on Kaggle

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Classification of Genetic Mutations based Clinical text so as to predict their effects on Personalized Medicine using Light GBM

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