betr-package              package:betr              R Documentation

_I_d_e_n_t_i_f_y _d_i_f_f_e_r_e_n_t_i_a_l_l_y _e_x_p_r_e_s_s_e_d _g_e_n_e_s _i_n _m_i_c_r_o_a_r_r_a_y _t_i_m_e-_c_o_u_r_s_e _e_x_p_e_r_i_m_e_n_t_s

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

     The betr package implements the BETR (Bayesian Estimation of
     Temporal Regulation) algorithm.

_D_e_t_a_i_l_s:


       Package:   betr
       Type:      Package
       License:   LGPL (>= 2.0)
       LazyLoad:  yes

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

     Martin Aryee Maintainer: <aryee@jhu.edu>

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

     Smyth, G. Linear models and empirical bayes methods for assessing
     differential expression in microarray experiments. Statistical
     applications in genetics and molecular biology (2004) vol. 3,
     article 3 Tai, Y and Speed, T. A multivariate empirical Bayes
     statistic for replicated microarray time course data. Annals of
     Statistics (2006) vol. 34 (5) pp. 2387-2412

_S_e_e _A_l_s_o:

     'betr'

_E_x_a_m_p_l_e_s:

     library(Biobase)    
     data(timeEset)
     prob <- betr(timeEset, cond=pData(timeEset)$strain, 
         timepoint=pData(timeEset)$time, replicate=pData(timeEset)$rep, alpha=0.05)
     head(prob)

