BCBimax               package:biclust               R Documentation

_T_h_e _B_i_m_a_x _B_i_c_l_u_s_t_e_r _a_l_g_o_r_i_t_h_m

_D_e_s_c_r_i_p_t_i_o_n:

     Performs Bimax Biclustering based on the framework by Prelic et.
     al.(2006). It searches for submatrices of ones in a logical
     matrix. Uses the original C code of the authors.

_U_s_a_g_e:

     ## S4 method for signature 'matrix, BCBimax':
     biclust(x, method=BCBimax(), minr=2, minc=2, number=100)

_A_r_g_u_m_e_n_t_s:

       x: A logical matrix which represents the data.

  method: Here BCBimax, to perform Bimax algorithm

    minr: Minimum row size of resulting bicluster.

    minc: Minimum column size of resulting bicluster.

  number: Number of Bicluster to be found.

_V_a_l_u_e:

     Returns an object of class 'Biclust'.

_A_u_t_h_o_r(_s):

     Sebastian Kaiser  sebastian.kaiser@stat.uni-muenchen.de

_R_e_f_e_r_e_n_c_e_s:

     Prelic, A.; Bleuler, S.; Zimmermann, P.; Wil, A.; Buhlmann, P.;
     Gruissem, W.; Hennig, L.; Thiele, L. & Zitzler, E.  A Systematic
     Comparison and Evaluation of Biclustering Methods for Gene
     Expression Data Bioinformatics, Oxford Univ Press, 2006, 22,
     1122-1129

_S_e_e _A_l_s_o:

     'biclust', 'Biclust'

_E_x_a_m_p_l_e_s:

      test <- matrix(rnorm(5000), 100, 50)
      test[11:20,11:20] <- rnorm(100, 3, 0.1)
      loma <- binarize(test,2)
      res <- biclust(x=loma, method=BCBimax(), minr=4, minc=4, number=10)
      res

