simpleaffy-deprecated package:simpleaffy R Documentation _D_o_e_s _s_i_m_p_l_e_a_f_f_y _h_a_v_e _a _Q_C _d_e_f_i_n_i_t_i_o_n _f_i_l_e _f_o_r _t_h_e _s_p_e_c_i_f_i_e_d _a_r_r_a_y? _D_e_s_c_r_i_p_t_i_o_n: The underlying implementation of simpleaffy has changed significantly and it now represents QC parameters differently. In particular, it loads only the QC data for the specified array type. A call to any of these functions loads the appropriate environment specifed by 'name'. They therefore been deprecated and WILL disappear from simpleaffy in the future. _U_s_a_g_e: getTao(name) getAlpha1(name) getAlpha2(name) getActin3(name) getActinM(name) getActin5(name) getGapdh3(name) getGapdhM(name) getGapdh5(name) getAllQCProbes(name) getBioB(name) getBioC(name) getBioD(name) getCreX(name) getAllSpikeProbes(name) haveQCParams(name) _A_r_g_u_m_e_n_t_s: name: The 'clean' CDF name of the array (i.e. the result of calling 'cleancdfname' on the 'cdfName' of the AffyBatch object containing the array data of interest. _D_e_t_a_i_l_s: Each of these functions has been replaced by a new function of the form 'qc.get.'. In order to support ratios other than gapdh and beta-actin, the appropriate way to get ratios is now to use 'qc.get.ratios', which will return a table containing all suggested ratio calculations for the array. Similarly, 'qc.get.spikes' will return a table containing all spike probesets for the array. One of the reasons for these changes is to make it easier to support new/alternate definitions of the QC parameters for a given array. The old functions do not know how to deal with alternate QC data from outside the package. They have been left in, but deprecated - instead the new qc.get.X() functions should be used to pick up the additional functionality provided by, for example, the ability to use setQCEnvironment() to specify alternate QC definition files. _V_a_l_u_e: _N_o_t_e: _A_u_t_h_o_r(_s): Crispin J Miller _R_e_f_e_r_e_n_c_e_s: http://bioinformatics.picr.man.ac.uk/ _S_e_e _A_l_s_o: 'setQCEnvironment' 'qc' 'qc.ok' 'cdfName' 'cleancdfname' 'qc.get.ratios' 'qc.get.spikes' 'qc.get.probes' _E_x_a_m_p_l_e_s: #old getBioB("hgu133plus2cdf") getActin3("hgu133plus2cdf") getActinM("hgu133plus2cdf") getActin5("hgu133plus2cdf") #new setQCEnvironment("hgu133plus2cdf") qc.get.spikes()["bioB"] r <- qc.get.probes() r["actin3"] r["actinM"] r["actin5"]