GS2BC                package:Envisage                R Documentation

_C_o_n_v_e_r_t_o_r _f_o_r _G_e_n_e_S_p_r_i_n_g _G_S_i_n_t _a_n_d _B_i_o_c_o_n_d_u_c_t_o_r _E_x_p_r_e_s_s_i_o_n_S_e_t
_o_b_j_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     This function converts GeneSpring Experiment (Interpretation)
     objects into BioConductor microarray expression objects.

_U_s_a_g_e:

       GS2BC(interpretation, what = "nor")

_A_r_g_u_m_e_n_t_s:

interpretation: GeneSpring Experiment Interpretation object.

    what: For GSload.intBC() only. Indicates what data from the
          GeneSpring Experiment Interpretation should be used. Valid
          values for what can be 'nor' and 'raw', representing
          Normalized or Raw expression values. The control values
          cannot be used.

_D_e_t_a_i_l_s:

     The 'Envisage' package contains methods allowing the use of linear
     models (LMs) for analysing significantly changing genes in
     experiments with a variety of sources of variation, be they
     experimentally controlled variables such as drug treatment or
     time, or non-controlled sources of confounding variation such as
     phenotypic or environmental differences. This allows all sources
     of variation to be considered when analysing for significant
     differential expression, ensuring resulting genes are biologically
     relevent to the experimental question. 

     'GS2BC' is slightly changed from function  'GSint2BC' from package
     'GeneSpring', which currently only supports the defunct 'exprSet'
     class of data.

_A_u_t_h_o_r(_s):

     Sam Robson S.C.Robson@warwick.ac.uk

_R_e_f_e_r_e_n_c_e_s:

     Robson, S. C., Hunter, E., Bird, H., Turner, H. (2008)  _Envisage:
     model-based significance analysis of microarray gene expression
     data_, manuscript in preparation

_S_e_e _A_l_s_o:

     'GSint2BC'

