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Multi-omics Trustworthy Integration Framework (MoTIF)

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MoTIF

A Highly Trustworthy Multimodal Learning Method on Omics

Getting Started

To get start with MoTIF, please follow the instructions below.

Prerequisites

pip install -r requirements.txt

Installation

git clone git@github.com:YuxingLu613/MoTIF.git

Dataset

The BRCA and ROSMAP dataset can be found in MOGONET. All the preprocessed datasets can be found in MoTIF Datasets. The pan-cancer dataset can be fetched in TCGA program .

Usage

To train the model from stratch with defult settings, you can run the code

python main.py

To train the model on a specific dataset, you can add argument

python main.py -task ("BRCA"|"ROSMAP"|"KIPAN"|"LGG"|"CCM")

If you just want to test the saved model in checkpoints/, you can add argument

python main.py -test_only True

If you want to change the number of input modalities, you can change the "uni_modality", "dual_modality", "triple_modality" argument

python main.py -uni_modality True -dual_modality False triple_modality False

If you want to change the hyper-parameters in the model, you can edit the train/train.py.

Citation

TBA

Contact

If you have any questions, please feel free to get touch with me, my email is yxlu0613 AT gmail DOT com

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Multi-omics Trustworthy Integration Framework (MoTIF)

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