syn.net                package:minet                R Documentation

_S_y_n_T_R_e_N _S_o_u_r_c_e _N_e_t_w_o_r_k

_D_e_s_c_r_i_p_t_i_o_n:

     This is the true underlying network used to generate the dataset
     loaded by 'data(syn.data)' - see 'syn.data'.

_U_s_a_g_e:

     data(syn.net)

_F_o_r_m_a_t:

     'syn.net' is a boolean adjacency matrix representing an undirected
     graph of 50 nodes.

_S_o_u_r_c_e:

     'syn.net' is the "yeast_nn.sif" source network from the SynTReN
     generator  where all the variables/nodes not in 'syn.data' were
     removed.

_R_e_f_e_r_e_n_c_e_s:

     Tim Van den Bulcke, Koenraad Van Leemput, Bart Naudts, Piet van
     Remortel,  Hongwu Ma, Alain Verschoren, Bart De Moor, and Kathleen
     Marchal.  Syntren : a generator of synthetic gene expression
     dataset for design and analysis of structure learning algorithms.
     BMC Bioinformatics, 2006.

_E_x_a_m_p_l_e_s:

     data(syn.data)
     data(syn.net)
     mim <- build.mim(discretize(syn.data),estimator="mi.empirical")
     infered.net <- mrnet(mim)
     max(fscores(validate( infered.net, syn.net )))

