scRNA-seq-classification

REQUIREMENTS

• Tensorflow 1.0
• sklearn
• jupyter notebook

PREPARE

• Use data_explore.ipynb to explore the data and preform split.
• Use build_data.ipynb to build training/val/test set.

TRAIN

• Use main.py to train the mlp model
• Use train_svm.ipynb to train the SVM model
• Use vis_result.ipynb to monitor network training results.

EVALUATION

• Use eval.py to evaluate the model
• I used voting among SVM, softmax MLP and sigmoid MLP to produce the final results, see build_eval.ipynb for details.

RESOURCES

To accesss my data split, trained models and test predictions, see this link.