fcabundance           package:yeastExpData           R Documentation

_Y_e_a_s_t _p_r_o_t_e_i_n _a_b_u_n_d_a_n_c_e

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

     Abundance of yeast proteins measured using flow cytometry and GFP
     tagging

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

     data(fcabundance)

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

     A data frame with 4159 observations on the following 6 variables.

     '_y_O_R_F' a factor denoting yeast Open Reading Frames with levels
          'YAL001C', 'YAL002W', 'YAL005C', etc

     '_g_e_n_e__n_a_m_e' a factor denoting corresponding gene names, with
          levels '37164', 'AAC1', 'AAC3', etc

     '_Y_E_P_D._m_e_a_n' a numeric vector, giving average abundance in rich
          (YEPD) media 

     '_Y_E_P_D._e_r_r_o_r' a numeric vector, giving corresponding (standard?)
          error 

     '_S_D._m_e_a_n' a numeric vector, giving average abundance in minimal
          (SD) media

     '_S_D._e_r_r_o_r' a numeric vector, giving corresponding error

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

     <URL:
     http://www.nature.com/nature/journal/v441/n7095/extref/nature04785-s03.xls>

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

     "Single-cell proteomic analysis of S. cerevisiae reveals the
     architecture of biological noise" (15 June 2006). John R. S.
     Newman, Sina Ghaemmaghami, Jan Ihmels, David K. Breslow, Matthew
     Noble, Joseph L. DeRisi and Jonathan S. Weissman Nature 441,
     840-846

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

     data(fcabundance)
     plot(YEPD.mean ~ SD.mean, fcabundance, log = "xy")
     plot(SD.error ~ SD.mean, fcabundance, log = "x")

