Forward subset feature selection

[akatav]

Hi
The dataset has more than 50K genes and 146 samples. As n <<<p, we maybe better off using forward subset feature selection methods. Using regsubsets() in R is not successful probably due to the huge feature size. Is there an efficient implementation of subset selection algorithms in R/python for large datasets like these ?