Package: GESE 2.0.1

Dandi Qiao

GESE: Gene-Based Segregation Test

Implements the gene-based segregation test(GESE) and the weighted GESE test for identifying genes with causal variants of large effects for family-based sequencing data. The methods are described in Qiao, D. Lange, C., Laird, N.M., Won, S., Hersh, C.P., et al. (2017). <doi:10.1002/gepi.22037>. Gene-based segregation method for identifying rare variants for family-based sequencing studies. Genet Epidemiol 41(4):309-319. More details can be found at <http://scholar.harvard.edu/dqiao/gese>.

Authors:Dandi Qiao, Michael H. Cho

GESE_2.0.1.tar.gz
GESE_2.0.1.tar.gz(r-4.5-noble)GESE_2.0.1.tar.gz(r-4.4-noble)
GESE_2.0.1.tgz(r-4.4-emscripten)GESE_2.0.1.tgz(r-4.3-emscripten)
GESE.pdf |GESE.html✨
GESE/json (API)

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

Peer review:

Datasets:
  • dataRaw - DataRaw - a data frame containing the pedigree, phenotype and genotype information
  • database - Database file in example
  • mapInfo - MafInfo - example data
  • pednew - Pednew - an example pedigree structure

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

2.08 score 12 scripts 513 downloads 5 exports 9 dependencies

Last updated 8 years agofrom:3de6049749. Checks:OK: 1 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linuxWARNINGNov 20 2024

Exports:condSegProbFGESEgetSegInfotrim_oneLineagetrim_unrelated

Dependencies:evaluatehighrkinship2knitrlatticeMatrixquadprogxfunyaml

GESE package vignette

Dandi Qiao

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2017-05-18
Started: 2016-08-05