GCA: an R package for genetic connectedness analysis using pedigree and genomic data.

Published in: BMC genomics (2021)

The GCA R package allows users to easily assess the connectedness of their data. It is also useful to determine the potential risk of comparing predicted genetic values of individuals across units or measure the connectedness level between training and testing sets in genomic prediction.

Keyphrases

copy number
electronic health record
genome wide
big data
machine learning
data analysis
artificial intelligence
climate change