RankingLimma-methods      package:GeneSelector      R Documentation

_R_a_n_k_i_n_g _b_a_s_e_d _o_n _t_h_e '_m_o_d_e_r_a_t_e_d' _t _s_t_a_t_i_s_t_i_c

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

     The 'moderated' t statistic are based on a bayesian hierarchical
     model which is estimated by an empirical bayes approach. The
     function is a wrapper to the function 'fitLm' and 'eBayes' of the
     'limma' package.

_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 
     RankingLimma.

