Package: KnockoffTrio 1.0.2

Yi Yang

KnockoffTrio: Trio Data Analysis with Knockoff Statistics for FDR Control

Identification of putative causal variants in genome-wide association studies with the trio design. The package implements the methods in the paper: Yang, Y., Wang, C., Liu, L., Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design. The American Journal of Human Genetics, 109(10), 1761-1776.

Authors:Yi Yang [aut, cre]

KnockoffTrio_1.0.2.tar.gz
KnockoffTrio_1.0.2.tar.gz(r-4.5-noble)KnockoffTrio_1.0.2.tar.gz(r-4.4-noble)
KnockoffTrio_1.0.2.tgz(r-4.4-emscripten)KnockoffTrio_1.0.2.tgz(r-4.3-emscripten)
KnockoffTrio.pdf |KnockoffTrio.html
KnockoffTrio/json (API)

# Install 'KnockoffTrio' in R:
install.packages('KnockoffTrio', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 394 downloads 4 exports 0 dependencies

Last updated 12 months agofrom:84883f8d43. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:causal_locicreate_knockoffKnockoffTriometa_analysis

Dependencies: