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DNACipher is a deep learning model that predicts genomic signals given inputted DNA sequence, cell type, and assay.

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DNACipher

Prediction of genomic measurements from DNA sequence in observed and unobserved cell types and assays

DNACipher Example

DNACipher is a DNA sequence deep learning model that also includes cell type and assay information on the model input.

Tutorial

Please see the google collab tutorial here:

https://colab.research.google.com/gist/BradBalderson/c4389baa0d789314259b8479cfd35747/dnacipher_inference_local.ipynb

To install and run locally, please see the tutorial here:

https://github.com/BradBalderson/DNACipher/blob/main/tutorials/DNACipher_inference_local.ipynb

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DNACipher is a deep learning model that predicts genomic signals given inputted DNA sequence, cell type, and assay.

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