normOLIN             package:maigesPack             R Documentation

_N_o_r_m_a_l_i_s_e _a _c_D_N_A _M_i_c_r_o_a_r_r_a_y _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     This function loads a 'maigesRaw' object and normalise it using
     methods OLIN or OSLIM.

_U_s_a_g_e:

     normOLIN(obj=NULL, ...)

_A_r_g_u_m_e_n_t_s:

     obj: object of type 'maigesRaw' to be normalised.

     ...: additional parameters for function 'olin'.

_D_e_t_a_i_l_s:

     This function for normalisation is entirely based on function
     'olin' from _OLIN_ package. This function implements the methods
     OLIN and OSLIM, proposed by Futschich and Crompton (2004). See
     help page for this function to discover how to set the parameters.

_V_a_l_u_e:

     This function returns a 'maiges' object.

_A_u_t_h_o_r(_s):

     Gustavo H. Esteves <gesteves@vision.ime.usp.br>

_R_e_f_e_r_e_n_c_e_s:

     Futschik, M. and Crompton, T. Model selection and efficiency
     testing for normalization of cDNA microarray data, *Genome
     Biology*, 5, R60, 2004 (<URL:
     http://genomebiology.com/2004/5/8/R60>).

_S_e_e _A_l_s_o:

     'olin' from _OLIN_ package.

_E_x_a_m_p_l_e_s:

     ## Loading the dataset
     data(gastro)

     ## Doing the OLIN normalization. Pay attention because, this methods are
     ## very time consuming!
     ## Not run: 
     gastro.norm = normOLIN(gastro.raw2) ## Without scale adjustment

     gastro.norm = normOLIN(gastro.raw2, OSLIN=TRUE) ## With scale adj
     ## End(Not run)

