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., Hobbs, B., et al. 2016. Gene-based segregation method for identifying rare variants for family-based sequencing studies. More details can be found at <http://scholar.harvard.edu/dqiao/gese>.
|Author||Dandi Qiao, Michael H. Cho|
|Date of publication||2016-11-16 23:56:52|
|Maintainer||Dandi Qiao <firstname.lastname@example.org>|
condSegProbF: Computes conditional segregation probability for the family
database: database file in example
dataRaw: dataRaw - a data frame containing the pedigree, phenotype and...
GESE: Gene-Based Segregation Test
GESE-internal: GESE package internal functions
GESE-package: Gene-Based Segregation Test
getSegInfo: Computes segregation information for different mode of...
mapInfo: mafInfo - example data
pednew: pednew - an example pedigree structure
trim_oneLineage: Trims the pedigree structure to include one lineage only.
trim_unrelated: Trims the pedigree structure to exclude multiple founder...