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Toolset for training quantitative sequence to function models.

License: MIT License

Shell 0.18% Python 9.64% Jupyter Notebook 90.17%

gopher's Introduction

GOPHER: GenOmic Profile-model compreHensive EvaluatoR

This repository contains scripts for data preprocessing, training deep learning models for DNA sequence to epigenetic function prediction and evaluation of models.

The repo contains a set of tutorial jupyter notebooks that illustrate these steps on a toy dataset. The two notebooks below are required prerequisites for the rest of tutorials:

  • preprocessing/preprocessing/quant_dataset_tutorial.ipynb
  • tutorials/train_model.ipynb

To replicate the results of the manuscript run the scripts in the analysis directory. As a prerequisite download and unzip dataset.zip, trained_models.zip from zenodo https://doi.org/10.5281/zenodo.6464031 within the git repo. These contain test sets and pre-trained models. The analysis scripts can be ran in any order as long as paper_run_evaluate.py is ran first, in order to produce model evaluations which is required for further steps.

gopher's People

Contributors

ambert15 avatar shtoneyan avatar

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