testData          package:iterativeBMAsurv          R Documentation

_S_a_m_p_l_e _T_e_s_t _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 _f_o_r _S_u_r_v_i_v_a_l _A_n_a_l_y_s_i_s

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

     This is an adapted diffuse large B-cell lymphoma (DLBCL) dataset
     from  Rosenwald et al. (2002). This data matrix consists of the
     expression  levels from 36 DLBCL samples (rows), and 100 top
     univariate genes  (columns). This dataset is used as a sample test
     set in our examples.

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

     data(trainData)

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

     The data matrix is called 'testData'. Each entry in the matrix
     represents the expression level of one gene from  a DLBCL sample.

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

     We started with the full expression data from Rosenwald et al.
     (2002), which is available along with corresponding patient
     information at their  supplemental website <URL:
     http://llmpp.nih.gov/DLBCL/>. We selected a subset of the 80 test
     samples, and then performed Cox Proportional  Hazards Regression
     to obtain the 100 genes with the highest log likelihood.  The
     filtered dataset consists of 36 test samples, and it is available
     at our website <URL:
     http://expression.washington.edu/ibmasurv/protected>.

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

     Full dataset: <URL: http://llmpp.nih.gov/DLBCL/>.

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

     Rosenwald, A., Wright, G., Wing, C., Connors, J., Campo, E. et al.
     (2002).  The Use of Molecular Profiling to Predict Survival After
     Chemotherapy for Diffuse Large-B-Cell Lymphoma.  The New England
     Journal of Medicine, 346(25), 1937-1947.

