clusterNormE              package:puma              R Documentation

_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 normalise the data vector to have zero mean.

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

     clusterNormE(x)

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

       x: a vector which contains 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)
     Clust.exampleE.centered<-t(apply(Clust.exampleE, 1, clusterNormE))

