standardise2              package:Mfuzz              R Documentation

_S_t_a_n_d_a_r_d_i_z_a_t_i_o_n _i_n _r_e_g_a_r_d_s _t_o  _s_e_l_e_c_t_e_d _t_i_m_e-_p_o_i_n_t

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

     Standardisation of the expression values of every gene is
     performed, so that the expression values at a chosen time point
     are zero and the standard deviations are one.

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

     standardise2(eset,timepoint=1)

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

    eset: object of the class _exprSet_

timepoint: integer:  which time point should have expression values of
          zero

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

     The function produces an object of the _exprSet_ class with
     standardised expression values.

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

     Matthias E. Futschik  (<URL:
     http://itb.biologie.hu-berlin.de/~futschik>)

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

     if (interactive()){
     data(yeast)
     # Data pre-processing
     yeastF <- filter.NA(yeast)
     yeastF <- fill.NA(yeastF)
     yeastF <- standardise2(yeastF,timepoint=1)

     # Soft clustering and visualisation
     cl <- mfuzz(yeastF,c=20,m=1.25)
     mfuzz.plot(yeastF,cl=cl,mfrow=c(4,5))
     }

