GetStabilityPCA-methods     package:GeneSelector     R Documentation

_S_t_a_b_i_l_i_t_y _m_e_a_s_u_r_e_s _f_o_r _g_e_n_e _r_a_n_k_i_n_g_s

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

     A principal components analysis is applied to the matrix storing
     the different rankings for each gene. The ratio of the first
     eigenvalue to the sum of all eigenvalues is used as stability
     measure. If stability is high/variability is low, then the first
     principal component will explain a large amount of the overall
     variation, leading to large first eigenvalue.

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

     The input is an object of class 'RepeatRanking'.

     _R_R = "_R_e_p_e_a_t_R_a_n_k_i_n_g" signature 1

     For further argument and output information, consult
     GetStabilityPCA.

