trainData            package:iterativeBMA            R Documentation

_S_a_m_p_l_e _T_r_a_i_n_i_n_g _D_a_t_a _f_o_r _t_h_e _I_t_e_r_a_t_i_v_e _B_M_A _A_l_g_o_r_i_t_h_m

_D_e_s_c_r_i_p_t_i_o_n:

     This is an adapted leukemia (ALL, AML) 'ExpressionSet' from Golub
     et al. (1999). This 'ExpressionSet' consists of the expression
     levels from 38 ALL or AML samples (rows), and 100  genes
     (columns). This dataset is used as an example training data in our
     examples.

_U_s_a_g_e:

     data(trainData)

_F_o_r_m_a_t:

     The 'ExpressionSet' is called 'trainData'. Each entry in the exprs
     matrix represents the expression level of one gene from an ALL or
     AML sample.

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

     For illustration purposes, a subset of  100 genes from the package
     'golubEsets' is included in this package.

_S_o_u_r_c_e:

     The 'golubEsets' bioconductor data package, or <URL:
     http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi>.

_R_e_f_e_r_e_n_c_e_s:

     Golub, T.R., Slonim, D.K., Tamayo, P., Huard, C., Gaasenbeek, M.,
     Mesirov, J.P., Coller, H., Loh, M.L., Downing, J.R., Caligiuri,
     M.A., et al. (1999)  Molecular classification of cancer: class
     discovery and class prediction by gene expression monitoring.
     Science 286: 531-7.

