Software Open Access
Karen Feng; Henry Davidge; Kiavash Kianfar; williambrandler; Ahir Reddy; Amir Kermany; Boris Boutkov; Frank Austin Nothaft; Herman van Hovell; Leland; Michael L Heuer
We are excited to announce the release of Glow 0.6.0. This release includes both Java/Scala and Python artifacts that can be found in Maven Central and PyPI, respectively. Please note that the name of Maven Artifacts has changed from
glow-spark2 as glow is now released for both versions of Spark.
Notable additions/changes are:
RidgeRegression, which applies the fitted model in a leave-one-chromosome-out to get phenotype predictors for each chromosome
reshape_for_gwasconvenience function to prepare the output of GloWGR for use in glow GWAS functions