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oligogenic

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  1. HOP HOP Public

    Python 3

  2. VarCoPP2.0 VarCoPP2.0 Public

    Jupyter Notebook 2 1

  3. Deep_active_learning_bioRE Deep_active_learning_bioRE Public

    Framework to study the use of deep active learning for biomedical relation extraction

    Python 2

  4. ARBOCK ARBOCK Public

    A rule-based classifier based on KG paths: application in pathogenic gene interaction prediction | Author: Alexandre Renaux (ULB / VUB).

    Jupyter Notebook 2 1

  5. CH-burden-permutation CH-burden-permutation Public

    Repo for burden and permutation tests for Congenital Hydrocephalus

    Python 1

  6. OLIDA-feedback OLIDA-feedback Public

    Issue tracker and public discussions for the OLIDA web database.

Repositories

Showing 8 of 8 repositories
  • oligopipe-docs Public

    Documentation pages for oligopipe

    oligogenic/oligopipe-docs’s past year of commit activity
    0 MIT 0 0 0 Updated Sep 18, 2024
  • HOP Public
    oligogenic/HOP’s past year of commit activity
    Python 3 MIT 0 0 0 Updated Apr 16, 2024
  • Deep_active_learning_bioRE Public

    Framework to study the use of deep active learning for biomedical relation extraction

    oligogenic/Deep_active_learning_bioRE’s past year of commit activity
    Python 2 MIT 0 0 0 Updated Jan 3, 2024
  • ARBOCK Public

    A rule-based classifier based on KG paths: application in pathogenic gene interaction prediction | Author: Alexandre Renaux (ULB / VUB).

    oligogenic/ARBOCK’s past year of commit activity
    Jupyter Notebook 2 MIT 1 1 0 Updated Nov 16, 2023
  • oligogenic/VarCoPP2.0’s past year of commit activity
    Jupyter Notebook 2 GPL-3.0 1 0 0 Updated Sep 20, 2023
  • CH-burden-permutation Public

    Repo for burden and permutation tests for Congenital Hydrocephalus

    oligogenic/CH-burden-permutation’s past year of commit activity
    Python 1 GPL-3.0 0 0 0 Updated Dec 15, 2022
  • DiGePred Public Forked from souhridm/DiGePred

    Random Forest classifier designed to predict pairs of human genes capable to causing a digenic disease when carrying rare variants simultaneously. DiGePred has been trained using digenic pairs from DIDA and non-digenic pairs from unaffected relatives of individuals with rare undiagnosed disease.

    oligogenic/DiGePred’s past year of commit activity
    Python 0 2 0 0 Updated Jul 25, 2022
  • OLIDA-feedback Public

    Issue tracker and public discussions for the OLIDA web database.

    oligogenic/OLIDA-feedback’s past year of commit activity
    0 0 0 0 Updated Jun 10, 2020

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