RankingSoftthresholdT-methods  package:GeneSelector  R Documentation

_R_a_n_k_i_n_g _v_i_a _t_h_e '_s_o_f_t-_t_h_r_e_s_h_o_l_d' _t-_s_t_a_t_i_s_t_i_c

_D_e_s_c_r_i_p_t_i_o_n:

     The 'soft-threshold' statistic is constructed using a linear
     regression model using the 'L1' penalty (also referred to as LASSO
     penalty). In special cases (like here) the LASSO estimator can be 
     calculated analytically and is then called 'soft threshold'
     estimator.

_M_e_t_h_o_d_s:

     The input (gene expression and class labels)  can be given in
     three different ways:


     _x = "_m_a_t_r_i_x", _y = "_n_u_m_e_r_i_c" signature 1

     _x = "_m_a_t_r_i_x", _y = "_f_a_c_t_o_r" signature 2

     _x = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_c_h_a_r_a_c_t_e_r" signature 3


     For further argument and output information, consult 
     RankingSoftthresholdT.

