methods.regression {NTW} | R Documentation |
Regression methods to estimate a single row in a gene interaction network (A) with perturbations (P) fixed. These methods differ at the regression criterions: the objective function of geo is the geometric mean, sum of square for sse and maximum likelihood for ml, see vignette for the details.
method.geo(index.vars, X, pert) method.sse(index.vars, X, pert) method.ml(index.vars, X, pert, noiseLevel)
index.vars |
A vector to select the rows in X on which regression will be used. It sets a group of combination of rows in X. |
X |
Gene expression data, a matrix with genes as rows and perturbations as columns. |
pert |
A vector of row r in P. |
noiseLevel |
Indicate the noise level in each perturbed experiment. |
sol |
A vector of regression result |
error |
The result of the objective function. |
Wei Xiao, Yin Jin, Darong Lai, Xinyi Yang,Yuanhua Liu, Christine Nardini