MetNet-package |
Inferring metabolic networks from untargeted high-resolution mass spectrometry data |
addToList |
Add adjacency matrix to list |
aracne |
Create an adjacency matrix based on algorithm for the reconstruction of accurate cellular networks |
bayes |
Create an adjacency matrix based on constraint-based structure learning algorithm |
clr |
Create an adjacency matrix based on context likelihood or relatedness network |
combineStructuralStatistical |
Combine structural and statistical adjacency matrix |
consensusAdjacency |
Create a consensus adjacency matrix of statistical adjacency matrices |
correlation |
Create an adjacency matrix based on correlation |
createStatisticalAdjacency |
Create statistical adjacency matrix |
createStatisticalAdjacencyList |
Create a list of statistical adjacency matrices |
createStructuralAdjacency |
Create adjacency matrix based on m/z (molecular weight) difference |
lasso |
Create a adjacency matrix based on LASSO |
mat_test |
Example data for 'MetNet': unit tests |
mat_test_z |
Example data for 'MetNet': unit tests |
MetNet |
Inferring metabolic networks from untargeted high-resolution mass spectrometry data |
peaklist |
Example data for 'MetNet': data input |
randomForest |
Create a adjacency matrix based on random forest |
rtCorrection |
Correct connections in the structural adjacency matrix by retention time |
threeDotsCall |
Check if passed arguments match the function's formal arguments and call the function with the checked arguments |
x_test |
Example data for 'MetNet': data input |