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()

_D_e_t_a_i_l_s:

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

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

     Raffaele A Calogero

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

     masigpro.edesign, masigpro.view

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

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