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ModelZoo
CIRI-deep_tensorflow
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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.
...
@@ -52,14 +60,14 @@ Basically, the input files are similar to CIRIdeep, excluding splicing amount re
...
@@ -52,14 +60,14 @@ Basically, the input files are similar to CIRIdeep, excluding splicing amount re
**CIRIdeep training**
**CIRIdeep training**
```
```
python
$script
train -geneExp_absmax /path/to/file -seqFeature /path/to/file -splicing_max /path/to/file -outdir /out/path -RBP_dir /RBP/path -splicing_dir /splicing/path
python
CIRIdeep.py
train -geneExp_absmax /path/to/file -seqFeature /path/to/file -splicing_max /path/to/file -outdir /out/path -RBP_dir /RBP/path -splicing_dir /splicing/path
```
```
Hyperparameters are given in
`config.py`
.
`config.py`
must be under the same directory with
`CIRIdeep.py`
. Resources are waiting to be loaded...
Hyperparameters are given in
`config.py`
.
`config.py`
must be under the same directory with
`CIRIdeep.py`
. Resources are waiting to be loaded...
**CIRIdeep(A) training**
**CIRIdeep(A) training**
```
```
python
$script
train -geneExp_absmax /path/to/file -seqFeature /path/to/file -outdir /out/path -RBP_dir /RBP/path --CIRIdeepA
python
CIRIdeep.py
train -geneExp_absmax /path/to/file -seqFeature /path/to/file -outdir /out/path -RBP_dir /RBP/path --CIRIdeepA
```
```
## Contact
## Contact
...
...
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