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@GenomeNet

GenomeNet

Deep neural nets for genomic modelling

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  1. deepG Public

    DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets

    R 21 5

  2. Architect Public

    GenomeNet Architect: Bayesian Optimization of Genome Sequence Analysis Deep Learning Models.

    R 1

  3. Self-GenomeNet Public

    A method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training

    R

Repositories

  • deepG Public

    DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets

    R 21 5 0 0 Updated May 31, 2023
  • Self-GenomeNet Public

    A method that utilizes unlabeled genomic data to address the challenge of limited data availability through self-training

    R 0 0 0 0 Updated May 23, 2023
  • Labs Public

    GenomeNet Labs server

    TypeScript 0 0 0 0 Updated Apr 21, 2023
  • Tools Public

    DeepG containers with trained models

    HTML 0 0 0 0 Updated Apr 20, 2023
  • imputation Public
    R 0 0 0 0 Updated Apr 20, 2023
  • Architect Public

    GenomeNet Architect: Bayesian Optimization of Genome Sequence Analysis Deep Learning Models.

    R 1 0 0 0 Updated Apr 3, 2023
  • GenomNet_MA Public

    Neural Architecture Search for GenomeNet

    Python 0 1 0 0 Updated Mar 3, 2022
  • S4L_GenomeNet Public

    Representation learning for genomic datasets

    R 0 1 0 0 Updated Dec 23, 2021
  • transformR Public

    R implementation of Transformer architecture (Vaswani et al. 2017)

    R 0 1 0 0 Updated Nov 17, 2020
  • GenomeNet-responseViewer Public

    Visualization of state responses of GenomeNet

    R 2 0 0 0 Updated Feb 16, 2020
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