siResult-class             package:SLGI             R Documentation

_A _c_l_a_s_s _f_o_r _r_e_p_r_e_s_e_n_t_i_n_g _t_h_e _r_e_s_u_l_t _o_f _t_h_e _S_L_G_I _g_r_a_p_h _p_e_r_m_u_t_a_t_i_o_n
_m_o_d_e_l.

_D_e_s_c_r_i_p_t_i_o_n:

     A class for representing the result of the 'modelSLGI' function.

_S_l_o_t_s:


     '_O_b_s_e_r_v_e_d': Return a '"numeric"' vector: the observed  number of
          synthetic genetic interactions between components of one or
          two cellular organizational units

     '_E_x_p_e_c_t_e_d': Return a matrix: the expected number of synthetic
          genetic interactions between components of one or two
          cellular organizational units

_M_e_t_h_o_d_s:


     '_p_l_o_t' Graphical representation of the permutation model result

     '_c_o_m_p_a_r_e' Summarizes the result of the 'modelSLGI' function

_A_u_t_h_o_r(_s):

     N. LeMeur

_S_e_e _A_l_s_o:

     'modelSLGI','plot'

_E_x_a_m_p_l_e_s:

     ## apply a permutation model 
      data(ScISIC)
      data(Atong)
      data(SGA)
      model <-  modelSLGI(Atong, universe= SGA, interactome=ScISIC,
       type="intM", perm=2)

     model

