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KNOT: A knockoff-augmented neural network for identifying risk variants and epistatic interactions in family-based association studies.
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Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in EHR data.
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KnockoffHybrid: a knockoff framework for the identification of risk genetic variants in genome-wide association studies using hybrid analysis of both the trio and population designs. It implements the method in KnockoffHybrid: A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies.
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KnockoffTrio: a computationally efficient tool for the identification of causal loci in whole-genome sequencing family trio data. It also provides a meta-analysis module for combining the results of multiple studies. It implements the method in KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design.
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HSVS-M: a Bayesian method for multi-variant multi-trait association testing using summary statistics. It implements the method in A Bayesian hierarchically structured prior for gene-based association test with multiple traits in genome-wide association studies.
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HSVS-A: a Bayesian method for rare-variant association testing. It implements the method in A Bayesian hierarchically structured prior for rare‐variant association testing.