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'

