NetMoss | R Documentation |
This is a function to identify differential bacteria between case and control data set.
NetMoss( case_dir, control_dir, net_case_dir, net_control_dir, deepSplit = 4, minModuleSize = 20 )
case_dir |
string.The directory of diseased data set. |
control_dir |
string.The directory of healthy data set. |
net_case_dir |
string.The directory of network correlation of diseased data set. |
net_control_dir |
string.The directory of network correlation of healthy data set. |
deepSplit |
For method "hybrid", can be either logical or integer in the range 0 to 4. For method "tree", must be logical. In both cases, provides a rough control over sensitivity to cluster splitting. The higher the value (or if TRUE), the more and smaller clusters will be produced. For the "hybrid" method, a finer control can be achieved via maxCoreScatter and minGap below. |
minModuleSize |
Minimum module size. |
NetMoss score and module division results of each bacterium.
case_dir = '/tests/case_dir' control_dir = '/tests/control_dir' net_case_dir = '/tests/net_case_dir' net_control_dir = '/tests/net_control_dir' NetMoss(case_dir = case_dir, control_dir = control_dir, net_case_dir = net_case_dir, net_control_dir = net_control_dir)
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