flowcyt.fcs             package:rfcdmin             R Documentation

_F_l_o_w _C_y_t_o_m_e_t_r_y _S_t_a_n_d_a_r_d (_F_C_S) _f_i_l_e_s _f_r_o_m _B_r_i_t_i_s_h _C_o_l_u_m_b_i_a
_C_a_n_c_e_r _R_e_s_e_a_r_c_h _C_e_n_t_e_r

_D_e_s_c_r_i_p_t_i_o_n:

     Flow Cytometry Standard (FCS) files 'FCS' objects,  using the
     version of 'read.series.FCS' in 'rflowcyt' on October 1, 2005.

     The data come from a screening of a compound library. The
     screening was performed on a cell line. The name of one file
     corresponds to the position of the sample (cell line aliquot) in a
     96 wells plate.

_U_s_a_g_e:

     ## FCS files to be read with 'read.FCS' or 'read.series.FCS'
     ## function, see examples for details

_F_o_r_m_a_t:

     binary FCS files

_S_o_u_r_c_e:

     British Columbia Cancer Research Center, Vancouver, Canada

_R_e_f_e_r_e_n_c_e_s:

     Gasparetto, M. _et. al._ (2004) Identification of compounds that
     enhance the anti-lymphoma activity of rituximab usinf flow
     cytometric high-content screening, _Journal of Immunollogical
     Methods_, *292*, 59-71.

_E_x_a_m_p_l_e_s:

      ## Example I
      if (require(rflowcyt)) {

      ##obtaining the location of the fcs files in the data
       pathFiles <- system.file("bccrc", package="rfcdmin")
       drugFiles <- dir(pathFiles)

      ## reading in the FCS files
       drugData <- read.series.FCS(drugFiles, path=pathFiles, MY.DEBUG=FALSE)
      }

      ## Example II
      if (require(rflowcyt)) {
         ## obtaining the location of the fcs files in the data
         A06path <- paste(system.file("bccrc", package="rfcdmin"), "A06",sep="/")
         
         ## reading in the FCS files
         A06 <- read.FCS(A06path)
      }

