Published August 1, 2023 | Version v1
Dataset Open

ECOLE Result Reproduction

Creators

  • 1. Department of Computer and Communication Sciences, EPFL, Lausanne, Switzerland
  • 2. Department of Computer Science, Oxford University, Oxford, UK
  • 3. Department of Computer Engineering, Bilkent University, Ankara, Turkey
  • 4. Department of Computer Engineering, Bilkent University, Ankara, Turkey, Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA

Description

This repository contains the scripts, data, and instructions to reproduce the results of the paper: ECOLE: Learning to call copy number variants on whole exome sequencing data.

Files

ECOLE_reproduction_v2.zip

Files (44.3 GB)

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md5:f82a572b01c4330388b7c7c5d57c21ce
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