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Gene- and Pathway-based Framework for Multi-omics Data Intergration
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MiNet is a gene- and pathway-based deep neural netowrk for multi-omics data intergration to predict cancer survival outcomes.

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Example Datasets

To get started, you need to download example datasets from URLs as below:

Train data

Validation data

Test data

Gene Sparse Mask

Pathway Sparse Mask

Training, Validation and Evaluation of MiNet to train the model with the inputs from train.csv. Hyperparmeters are optimized by grid search automatically with validation.csv. C-index is used to evaluate the model performance with test.csv.

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