leukemia              package:supclust              R Documentation

_A _p_a_r_t _o_f _t_h_e _G_o_l_u_b'_s _f_a_m_o_u_s _A_M_L/_A_L_L-_l_e_u_k_e_m_i_a _d_a_t_a_s_e_t

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

     Part of the training set of the famous AML/ALL-leukemia dataset
     from the Whitehead Institute.  It has been reduced to 250 genes,
     about half of which are very informative for classification,
     whereas the other half was chosen randomly.

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

     data(leukemia)

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

     Contains three R-objects: The expression matrix 'leukemia.x', the
     associated binary response variable 'leukemia.y', and the
     associated 3-class response variable 'leukemia.z'.

_A_u_t_h_o_r(_s):

     Marcel Dettling

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

     <URL: http://www.genome.wi.mit.edu/MPR/>

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

     First published in
      Golub et al. (1999) Molecular Classification of Cancer: Class
     Discovery and Class Prediction by Gene Expression Monitoring.
     _Science_ *286*, 531-538.

_E_x_a_m_p_l_e_s:

     data(leukemia, package="supclust")
     str(leukemia.x)
     str(leukemia.y)
     str(leukemia.z)
     op <- par(mfrow= 1:2)
     plot(leukemia.x[,56], leukemia.y)
     plot(leukemia.x[,174],leukemia.z)
     par(op)

