DeepRVAT

Contents:

  • Installation
  • Quick start
  • Modes of usage
  • DeepRVAT preprocessing pipeline
  • DeepRVAT annotation pipeline
  • Seed gene discovery
  • DeepRVAT configuration and input data
  • Association testing with precomputed gene impairment scores
  • Association testing using pretrained DeepRVAT models
  • Training and association testing
  • Output file formats
  • Cluster execution
  • Practical recommendations for training
  • Applying DeepRVAT to UK Biobank data
  • API Reference
DeepRVAT
  • Python Module Index

Python Module Index

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- deeprvat
    deeprvat.annotations
    deeprvat.annotations.annotations
    deeprvat.cv_utils
    deeprvat.data
    deeprvat.data.dense_gt
    deeprvat.data.rare
    deeprvat.deeprvat
    deeprvat.deeprvat.associate
    deeprvat.deeprvat.common_variant_condition_utils
    deeprvat.deeprvat.config
    deeprvat.deeprvat.evaluate
    deeprvat.deeprvat.models
    deeprvat.deeprvat.train
    deeprvat.metrics
    deeprvat.preprocessing
    deeprvat.preprocessing.preprocess
    deeprvat.seed_gene_discovery
    deeprvat.seed_gene_discovery.evaluate
    deeprvat.seed_gene_discovery.seed_gene_discovery
    deeprvat.utils

© Copyright 2026, Clarke, B., Holtkamp, E., Öztürk, H., Mück, M., Wahlberg, M., Meyer, K., Munzlinger, F., Brechtmann, F., Hölzlwimmer, F., Gagneur, J., Stegle, O..

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