dataTrim          package:diffGeneAnalysis          R Documentation

_D_a_t_a_T_r_i_m _u_s_i_n_g _p_s_e_u_d_o _w_i_n_s_o_r_i_z_a_t_i_o_n _a_l_g_o_r_i_t_h_m

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

     DataTrim cleans the data through a pseudo winsorization algorithm.
     First, the mean and SD are calculated.  Then, any values above 2SD
     are trimmed.The mean is recalculated and any values less then 2 SD
     are trimmed.This process of cutting 2 SD above the mean and then 2
     SD below the mean is repeated until no further cuts are possible.

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

     dataTrim(chipdata)

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

chipdata: chipdata is a vector of chipdata from microarray chips.

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

     Returns a vector of trimmed chipdata representing background based
     on pseudo winsorization algorithm.

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

     Choudary L Jagarlamudi

_R_e_f_e_r_e_n_c_e_s:

     Dozmorov I,Centola,M. An associative analysis of gene expression
     array data. Bioinformatics.2003 Jan22;19(2):204-11

     Knowlton N,Dozmorov I, Centola M. Microarray data Analysis Tool
     box(MDAT): for normalization,adjustment and analysis of gene
     expression data. Bioonformatics.2004 Dec 12;20(18):3687-90

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

      #see normalize for details

