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# CIRIdeep # CIRI-deep
- CIRIdeep is a deep-learning model used to predict differentially spliced circRNAs between two biological samples using totalRNA sequencing data. - CIRI-deep is a deep-learning model used to predict differentially spliced circRNAs between two biological samples using totalRNA sequencing data.
- An adapted version of CIRIdeep, CIRIdeepA, was trained for poly(A) selected RNA-seq data. - An adapted version of CIRI-deep, CIRI-deepA, was trained for poly(A) selected RNA-seq data.
# Installation
The CIRI-deep model was constructed based on Keras. The `requirements.txt` was provided and the dependencies can be installed as the follow:
```
git clone https://github.com/gyjames/CIRIdeep.git
cd CIRIdeep
conda env create --name CIRIdeep --file ./requirements.txt
```
# Usage # Usage
The main program `CIRIdeep.py` can be used to predict differentially spliced circRNAs with CIRIdeep or CIRIdeep(A) or train your own model. The main program `CIRIdeep.py` can be used to predict differentially spliced circRNAs with CIRIdeep or CIRIdeep(A) or train your own model.
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