quantileNormalize-methods        package:HELP        R Documentation

_Q_u_a_n_t_i_l_e _n_o_r_m_a_l_i_z_a_t_i_o_n (_m_e_t_h_o_d_s)

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

     Methods for applying quantile normalization to multiple bins of
     data, divided by a sliding window approach

_M_e_t_h_o_d_s:



     _x = "_m_i_s_s_i_n_g", _y = "_m_i_s_s_i_n_g" Handle empty function call 

     _x = "_m_a_t_r_i_x", _y = "_m_i_s_s_i_n_g" Handle matrix input, reinterpret
          function call with two vector input if matrix has two
          columns, otherwise handle as empty function call 

     _x = "_v_e_c_t_o_r", _y = "_m_i_s_s_i_n_g" Handle empty function call 

     _x = "_v_e_c_t_o_r", _y = "_E_x_p_r_e_s_s_i_o_n_S_e_t" Handle input of an object of
          class 'ExpressionSet'. Derive binning information from this
          class but use data from a vector input. 

     _x = "_v_e_c_t_o_r", _y = "_v_e_c_t_o_r" Handle input of two vectors specifying
          data and binning information, respectively. 

     _x = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_m_i_s_s_i_n_g" Handle input of an object of
          class 'ExpressionSet'. Derive both data and binning
          information from a single object. 

     _x = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_v_e_c_t_o_r" Handle input of an object of
          class 'ExpressionSet'. Derive data from this class but use
          binning information from a vector input. 

     _x = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_E_x_p_r_e_s_s_i_o_n_S_e_t" Handle input of two
          objects of class 'ExpressionSet'. Derive data and binning
          information from each one, respectively. 

_A_u_t_h_o_r(_s):

     Reid F. Thompson (rthompso@aecom.yu.edu)

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

     'quantileNormalize'

