syn.data                package:minet                R Documentation

_S_i_m_u_l_a_t_e_d _G_e_n_e _E_x_p_r_e_s_s_i_o_n _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Dataset containing 100 samples and 50 genes generated by the
     publicly available SynTReN generator using a yeast source network
     - see 'syn.net'

_U_s_a_g_e:

     data(syn.data)

_F_o_r_m_a_t:

     'syn.data' is a data frame containing 100 rows and 50 columns. 
     Each row contains a microarray experiment and each column contains
     a gene.

_S_o_u_r_c_e:


        *  SynTReN 1.1.3

        *  source network : yeast_nn.sif

_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)
     syn.data <- discretize(syn.data)
     mim <- build.mim(syn.data)
     infered.net <- mrnet(mim)
     max(fscores(validate( infered.net, syn.net )))

