causton               package:GraphAT               R Documentation

_Y_e_a_s_t _m_R_N_A _E_x_p_r_e_s_s_i_o_n _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     This data set contains mRNA expression from a microarray
     experiment involving yeast grown under a variety of altered
     environments (e.g. acid, heat, sorbitol, etc.)

_U_s_a_g_e:

     data(causton)

_F_o_r_m_a_t:

     A matrix whose rows are the 6015 genes and whose columns are the
     45 experimental conditions.

_S_o_u_r_c_e:

     <URL: http://web.wi.mit.edu/young/environment>

_R_e_f_e_r_e_n_c_e_s:

     Causton, H. C. et al. 2001 ``Remodeling of Yeast Genome Expression
     in Response to Environmental Changes.'' Molecular Biology of the
     Cell *12*, 323-337.

_E_x_a_m_p_l_e_s:

     data(causton)

     ## Find the 3000 most variable genes, according to sd/mean:

     varMeas<-function(vec){
     sd(vec)/mean(vec)}
     variability<-apply(causton,1,varMeas)

     rks<-rank(variability)

     causton3000<-causton[rks>length(rownames(causton))-3000,]

