hiv                  package:nudge                  R Documentation

_M_i_c_r_o_a_r_r_a_y _i_n_t_e_n_s_i_t_y _e_x_p_r_e_s_s_i_o_n _l_e_v_e_l_s _f_o_r _H_I_V _t_y_p_e _1 _i_n_f_e_c_t_i_o_n _o_f _C_D_4+ _T-_C_e_l_l _l_i_n_e_s

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

     The ``hiv'' section of this dataset consists of cDNA from CD4+ T
     cell lines at 1 hour after infection with HIV-1BRU. There are 4608
     genes' expression levels. There are four replicates with balanced
     dye sways i.e. two of the replicates have sample 1 labeled with
     red and sample 2 labeled with green and the other two have the
     opposite labeling scheme. It is useful in testing the specificity
     and sensitivity of methods identifying differentially expressed
     genes, since there are 13 genes known to be differentially
     expressed (HIV-1 genes), called positive controls, identified in
     the vector of logical values ``pos.contr'' and 29 genes known not
     to be differentially expressed (non-human genes), called negative
     controls, identified in the vector of logical values
     ``neg.contr''.

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

     data(hiv)

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

     A matrix containing 4608 observations on eight variables

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

     Bumgarner Lab

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

     N. Dean and A. E. Raftery (2005). Normal uniform mixture
     differential gene expression detection for cDNA microarrays. BMC
     Bioinformatics, 6, 173-186. 

     <URL: http://www.biomedcentral.com/1471-2105/6/173>

     A.B. van't Wout, G. K. Lehrma, S. A. Mikheeva, G. C. O'Keeffe, M.
     G. Katze, R. E. Bumgarner, G. K. Geiss and J. I. Mullins (2003).
     Cellular gene expression upon human immunodeficiency virus type 1
     infection of CD4+ T-Cell lines. J. Virol. 77, 1392-1402.

_S_e_e _A_l_s_o:

     'pos.contr','neg.contr'

