LRTq, a powerful statistical method that infers causal statuses of rare variants with prior information and observational data and then aggregate rare variants in a nonlinear manner. With the assumption that individuals with abnormal gene expression levels are likely to enrich for causal rare variants, LRTq performs a likelihood ratio test to identify whether there are at least one causal rare variants in a group of variants near a gene. It first computes the ratio between the null model that assumes no causal rare variants in a variant set and the alternative model that asserts at least one causal rare variants. LRTq then calculates p-value for the likelihood ratio between these two models using permutation test.
Package details |
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Author | Jiajin Li (Albert Lee) |
Maintainer | Jiajin Li (Albert Lee) <lijj36@ucla.edu> |
License | MIT |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
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