Golub                package:hddplot                R Documentation

_G_o_l_u_b _d_a_t_a (_7_1_2_9 _r_o_w_s _b_y _7_2 _c_o_l_u_m_n_s), _a_f_t_e_r _n_o_r_m_a_l_i_z_a_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     These are a normalized version of the Golub leukemia data from the
     'golubEsets' package, available from:

     <URL: http://www.bioconductor.org/download/experiments/>

_U_s_a_g_e:

     data(Golub)

_F_o_r_m_a_t:

     The format is: num [1:7129, 1:72] -1363.3 -1058.6  -541.5    74.3
     -1110.1 ... - attr(*, "scaled:center")= num [1:72] 582 528 604 576
     751 ... - attr(*, "scaled:scale")= num [1:72] 2474 2305 2378 2437
     2438 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:7129]
     "AFFX-BioB-5_at" "AFFX-BioB-M_at" "AFFX-BioB-3_at"
     "AFFX-BioC-5_at" ... ..$ : NULL

_D_e_t_a_i_l_s:

     Data have been normalized and are supplied, here, as a matrix.

_S_o_u_r_c_e:

     See the help page for the dataset 'golubMerge', in the
     'golubEsets' package, for details of the source of the original
     data.

_R_e_f_e_r_e_n_c_e_s:

     Molecular Classification of Cancer: Class Discovery and Class
     Prediction by  Gene Expression Monitoring, Science, 531-537, 1999,
     T. R. Golub and  D. K. Slonim and P. Tamayo and C. Huard and M.
     Gaasenbeek and J. P. Mesirov  and H. Coller and M.L. Loh and J. R.
     Downing and M. A. Caligiuri and  C. D. Bloomfield and E. S. Lander

_E_x_a_m_p_l_e_s:

     data(Golub)
     ## Select 20 rows from the data; show boxplots of variation across chips
     boxplot(data.frame(t(Golub[sample(1:7129, 20), ]))) 

