AggregatedRanking-class     package:GeneSelector     R Documentation

"_A_g_g_r_e_g_a_t_e_d_R_a_n_k_i_n_g"

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

     An object returned from the methods 'AggregateBayes' and
     'AggregateSimple'

_S_l_o_t_s:


     '_p_o_s_t_e_r_i_o_r': A list of posterior distributions for each gene,
          ordered according to gene indices, not ranks. 'NA' if
          'method="simple"'

     '_s_u_m_m_a_r_y': A numeric vector of summary ranks for each gene. *In
          contrast* to 'GeneRanking',  there is no ordering, i.e. the
          first entry corresponds to the first gene _index_ (row 1 of
          the expression matrix).

     '_p_v_a_l': p-values from the original dataset (if exist),  otherwise
          a vector of 'NA's.

     '_t_y_p_e': Describes the way of aggregation, either  '"bayesian"',
          '"simple"', '"penalty"' or '"pca"'.

     '_f_u_n': The function used for aggregation, s. AggregateBayes or
          AggregateSimple.

     '_m_e_t_h_o_d': The ranking method used.

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


     _s_h_o_w Use 'show(AggregatedRanking-object)' for brief information.

     _p_l_o_t Use 'plot(GeneRanking-object, index=i)' to show the posterior
          distribution for gene 'i' (if 'type="bayesian"').

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

     Martin Slawski martin.slawski@campus.lmu.de 
      Anne-Laure Boulesteix <URL: http://www.slcmsr.net/boulesteix>

