GSelection

Genomic selection is a specialized form of marker assisted selection. The package contains functions to select important genetic markers and predict phenotype on the basis of fitted training data using integrated model framework (Guha Majumdar et. al. (2019) doi:10.1089/cmb.2019.0223) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) doi:10.1111/j.1467-9868.2009.00718.x) and one non-additive (hsic lasso by Yamada et. al. (2014) doi:10.1162/NECO_a_00537) model.

Last 30 days

This package has been downloaded 177 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 23 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,989 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 26 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.