BTP Code - B23SA01
- Guide - Dr. Amilpur Santhosh
- Akash Yadav - S20200010009
- Sachin Meena - S20200010181
- Seshu Medapi - S20200010124
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The data folder contains data for multiple patients in which each patient have it's own tsv data file containing gene expresion data.
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MergeHelp contains data into csv for each patient.
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preprocess.ipynb contains the Preprocessing code.
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TCGA_Labeled.csv file contains the preprocessed data.
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KL_Divergence jupyter notebook contains code for Kl divegence gene selection.
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Labeled_Final_Features csv file contains the data selected after kl divergence gene selection.
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Training jupyter source file coatains the model code for prediction of lung cancer.
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Results coatains the output after model Training.
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Augmentation jupyter source file conatains code for the gene expression data.
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Augmentation_Data1.csv contains data for weighted mixed observations.
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Augmentation_Data2.csv contains data for generative adversarial networks.
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Optimizations jupyter notebook contains the code for particle Swarm optimization.
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TCGA_Labled_PSO constains the data with genes selected after PSO optimization.
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TCGA_Labled_PSO_KL contains the data after pso and kl divergence.
Download the project
Go to the project directory
cd Btp
Install dependencies
pip install scikit-learn,pandas,pytorch,matplotlib,seaborn,scipy,tensorflow,shutil
- You can find all the data and csv's at
https://drive.google.com/drive/folders/1X4EUCgavlefy46yt4XpEVxs8hoy5MnXU?usp=drive_link