BCCC                 package:biclust                 R Documentation

_T_h_e _C_C _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 CC Biclustering based on the framework by Cheng and
     Church (2000). Searches for submatrices with a score lower than a
     specific treshold ind a standardizes data matrix.

_U_s_a_g_e:

     ## S4 method for signature 'matrix, BCCC':
     biclust(x, method=BCCC(), delta, alpha=1.5, number=100)

_A_r_g_u_m_e_n_t_s:

       x: Data matrix.

  method: Here BCCC, to perform CC algorithm

   delta: Maximum of accepted score.

   alpha: Scaling factor.

  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:

     Cheng, Y. & Church, G.M.  Biclustering of Expression Data 
     Proceedings of the Eighth International Conference on Intelligent
     Systems for Molecular Biology,  2000, 1, 93-103

_S_e_e _A_l_s_o:

     'biclust', 'Biclust'

_E_x_a_m_p_l_e_s:

     test <- matrix(rbinom(400, 50, 0.4), 20, 20)
     res <- biclust(test, method=BCCC(), delta=1.5,  alpha=1, number=10)
     res

