PCAMethods           package:GeneSelector           R Documentation

_P_r_i_n_c_i_p_a_l _C_o_m_p_o_n_e_n_t_s _A_n_a_l_y_s_i_s _f_o_r _d_i_f_f_e_r_e_n_t _r_a_n_k_i_n_g _p_r_o_c_e_d_u_r_e_s

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

     Aggregation over different perturbed datasets can be performed
     using one of the methods beginning with 'Aggregate'.
      For aggregation with respect to different ranking procedures,
     principal components analysis is used in the following manner: For
     each gene, the rankings obtained from, say 'K', procedures are
     stored in a 'p x K' matrix, where 'p' is the total number of
     genes. The different ranking procedures are intepreted as
     variables.
      The first principal component is used to form an aggregated
     ranking.

_U_s_a_g_e:

     PCAMethods(Rlist)

_A_r_g_u_m_e_n_t_s:

   Rlist: A list of objects of class GeneRanking.

_V_a_l_u_e:

     An object of class PCAMethodsResult.

_A_u_t_h_o_r(_s):

     Martin Slawski martin.slawski@campus.lmu.de 
      Anne-Laure Boulesteix <URL: http://www.slcmsr.net/boulesteix>

