calculateMembershipFunctions       package:DFP       R Documentation

_C_a_l_c_u_l_a_t_e_s _M_e_m_b_e_r_s_h_i_p _F_u_n_c_t_i_o_n_s

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

     Calculates the _Membership Functions_. These functions are used in
     the next step ('discretizeExpressionValues') to discretize gene
     expression data.

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

     calculateMembershipFunctions(rmadataset, skipFactor = 3)

_A_r_g_u_m_e_n_t_s:

rmadataset: 'ExpressionSet' with numeric values containing gene
          expression values (rows) of samples belonging to different
          categories (columns).
            The 'ExpressionSet' also contains an 'AnnotatedDataFrame'
          with metadata regarding the classes to which each sample
          belongs.

skipFactor: Numeric value to omit odd values (a way of normalization).
            Higher values imply that less samples of a gene are
          considered as odd. If 'skipFactor=0' do *NOT* skip.
           'Default value = 3'. 'Range[0,)'. 

_V_a_l_u_e:

     _Membership functions_ to determine the discret value (linguistic
     label) corresponding to a given gene expression level.

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

     Rodrigo Alvarez-Gonzalez
      Daniel Glez-Pena
      Fernando Diaz
      Florentino Fdez-Riverola
      Maintainer: Rodrigo Alvarez-Gonzalez <rodrigo.djv@uvigo.es>

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

     F. Diaz; F. Fdez-Riverola; D. Glez-Pena; J.M. Corchado. Using
     Fuzzy Patterns for Gene Selection and Data Reduction on Microarray
     Data. 7th International Conference on Intelligent Data Engineering
     and Automated Learning: IDEAL 2006, (2006) pp. 1095-1102

