plotMembershipFunctions         package:DFP         R Documentation

_P_l_o_t_s _t_h_e _M_e_m_b_e_r_s_h_i_p _F_u_n_c_t_i_o_n_s (_L_o_w, _M_e_d_i_u_m, _H_i_g_h) _u_s_e_d _t_o _d_i_s_c_r_e_t_i_z_e _g_e_n_e _e_x_p_r_e_s_s_i_o_n _v_a_l_u_e_s

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

     Each gene has 3 _Membership Functions_ (Low, Medium and
     High) which can be plotted as curves in graphical mode.
      In the text mode a membership function is represented with its
     _center_ and _width_.
      This function receives one or more gene names and plots the
     results in both graphical and text mode. If a set of genes
     containing more than 36 elements is provided, only the text mode
     is available.

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

     plotMembershipFunctions(rmadataset, mfs, genes)

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

rmadataset: An 'ExpressionSet' object with 'AnnotatedDataFrame'
          metadata. 

     mfs: A list of 3 ExpressionLevel objects (Low, Medium and
          High) for each gene (a list of lists). 

   genes: The set of genes to plot (a vector). 

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

     A dataframe with the values of the membership functions (Low,
     Medium and High) for each gene (in rows) received as a
     parameter.

_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

