leukemia             package:LogitBoost             R Documentation

_A _p_a_r_t _o_f _t_h_e _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:

     This is the training set of the famous AML/ALL-leukemia dataset
     from the Whitehead Institute. It has been reduced to 250 genes,
     about the 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

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

     http://www.genome.wi.mit.edu/MPR

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

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

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

     data(leukemia)
     str(leukemia.x)
     str(leukemia.y)
     str(leukemia.z)
     par(mfrow=c(1,2))
     plot(leukemia.x[,56], leukemia.y)
     plot(leukemia.x[,174],leukemia.z)

