masigpro            package:oneChannelGUI            R Documentation

_T_h_e _f_u_n_c_t_i_o_n _e_x_e_c_u_t_e_s _m_a_S_i_g_P_r_o _a_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     The function creates: 1. Create a regression matrix for the full
     regression model (make.design.matrix function). 2. Computes the
     p-value associated to the F-Statistic of the model,  which is used
     to select significant genes (p.vector function). 3. Applies a
     variable selection procedure to find significant variables for
     each gene (T.fit function).  This will ultimatelly be used to find
     which are the profile differences between experimental groups. 4.
     Finally, it generates lists of significant genes according to
     R-squared of the models (get.siggenes function). To know more
     about the various steps see maSigPro help.

_U_s_a_g_e:

     masigpro()

_A_u_t_h_o_r(_s):

     Raffaele A Calogero

_S_e_e _A_l_s_o:

     masigpro.edesign, masigpro.view

