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DL-mo

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# DL-mo
## A benchmark study of deep learning based multi-omics data fusion methods for cancer
***

We here compare the performances of 10 deep learning methods in three contexts: 
1. Simulated datasets
2. Cancer datasets
3. Single-cell datasets       

...
You need to install the following main libraries: `Python==3.7.0,Tensorflow==1.15.0, scikit-learn==0.20.0, Jupyter==1.0.0`.


	a/README.md		b/README.md
1	# DL-mo	1	# DL-mo
2	## A benchmark study of deep learning based multi-omics data fusion methods for cancer	2	## A benchmark study of deep learning based multi-omics data fusion methods for cancer
3	***	3	***
4	![Multi-Omics](https://easymed.ai/models/AlyssaS/DL-mo/git/ci/main/tree/img/3.png "Multi-Omics")	4
5	We here compare the performances of 10 deep learning methods in three contexts:	5	We here compare the performances of 10 deep learning methods in three contexts:
6	1. Simulated datasets	6	1. Simulated datasets
7	2. Cancer datasets	7	2. Cancer datasets
8	3. Single-cell datasets	8	3. Single-cell datasets
9		9
	...		...
52	You need to install the following main libraries: `Python==3.7.0,Tensorflow==1.15.0, scikit-learn==0.20.0, Jupyter==1.0.0`.	52	You need to install the following main libraries: `Python==3.7.0,Tensorflow==1.15.0, scikit-learn==0.20.0, Jupyter==1.0.0`.
53		53