normQpcrQuantile          package:qpcrNorm          R Documentation

_F_u_n_c_t_i_o_n _f_o_r _Q_u_a_n_t_i_l_e _N_o_r_m_a_l_i_z_a_t_i_o_n _o_f _q_P_C_R _D_a_t_a.

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

     Implements quantile normalization for a 'qpcrBatch' object.  We
     have adapted this algorithm from the function
     'normalizeBetweenArrays' from the 'limma' package.  Data in a
     'qpcrBatch' object is normalized such that within an experiment,
     the expression distributions  across plates are more or less
     identical, and across experiments, the expression distributions 
     are also now more or less identical.

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

     normQpcrQuantile(qBatch)

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

  qBatch: A 'link{qpcrBatch}' object. 

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

     A 'link{qpcrBatch}' object, the 'normalized' slot is now set at
     TRUE.

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

     Jess Mar jess@jimmy.harvard.edu

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

     'normQpcrRankInvariant', 'normalizeBetweenArrays'

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

      data(qpcrBatch.object) 
      mynormQuant.data <- normQpcrQuantile(qpcrBatch.object) 

