DeepTCR 1.0.1

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

# DeepTCR

## Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

DeepTCR is a python package that has a collection of unsupervised and supervised
deep learning methods to parse TCRSeq data. To see an example of how the algorithms can
be used on an example dataset, see Tutorial.ipnyb. For complete documentation for all available methods,
see 'Supervised_Documentation.txt' and 'Unsupervised_Documentation.txt'. While DeepTCR will run with Tensorflow-CPU versions,
for optimal training times, we suggest training these algorithms on GPU's (requiring CUDA, cuDNN, and tensorflow-GPU).

## Dependencies

DeepTCR has the following python library dependencies:
1. numpy==1.14.5
2. pandas==0.23.1
3. tensorflow==1.11.0
4. scikit-learn==0.19.1
5. pickleshare==0.7.4
6. matplotlib==2.2.2
7. scipy==1.1.0
8. biopython==1.69
9. seaborn==0.9.0


## Installation


In order to install DeepTCR:

```python
pip3 install DeepTCR

```

Or to install latest updated versions from Github repo:

Either download package, unzip, and run setup script:

```python
python3 setup.py install
```

Or use:

```python
pip3 install git+https://github.com/sidhomj/DeepTCR.git

```