clusterNormVar             package:puma             R Documentation

_A_d_j_u_s_t_i_n_g _e_x_p_r_e_s_s_i_o_n _v_a_r_i_a_n_c_e _f_o_r _z_e_r_o-_c_e_n_t_e_r_e_d _n_o_r_m_a_l_i_s_a_t_i_o_n

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

     This function adjusts the variance of the gene expression
     according to the zero-centered normalisation.

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

     clusterNormVar(x)

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

       x: a vector which contains the variance of gene expression level
          on log2 scale. 

_D_e_t_a_i_l_s:

     Vector x is related to a gene and each element is related to a
     chip.

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

     The return vector is in the same format as the input x.

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

     Xuejun Liu,  Magnus Rattray

_S_e_e _A_l_s_o:

     See Also as 'pumaClust'

_E_x_a_m_p_l_e_s:

     data(Clust.exampleE)
     data(Clust.exampleStd)
     Clust.exampleVar<-Clust.exampleStd^2
     Clust.exampleStd.centered<-t(apply(cbind(Clust.exampleE,Clust.exampleVar), 1, clusterNormVar))

