mND_s: Integration with mND function
In emosca-cnr/mND: Gene relevance based on multiple evidences in complex networks
mND_s R Documentation
Integration with mND function
Description
Integration with mND function
Usage
mND_s(output = NULL, ind_adj = NULL, k = NULL, min.norm.val = 0)
Arguments
output
Xs
ind_adj
index of neighbours obtained from adj matrix, see 'neighbour_index' function
k
number of top k first neighbors
min.norm.val
normalized ND values below this value will be set to 0; this is useful to denoise the steady state of ND and focus only on the highest scores
Value
a list with:
mND: mND score
t: sum of top k neighbours
emosca-cnr/mND documentation built on April 11, 2024, 12:49 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| mND_s | R Documentation |
Integration with mND function
Description
Integration with mND function
Usage
mND_s(output = NULL, ind_adj = NULL, k = NULL, min.norm.val = 0)
Arguments
output |
Xs |
ind_adj |
index of neighbours obtained from adj matrix, see 'neighbour_index' function |
k |
number of top k first neighbors |
min.norm.val |
normalized ND values below this value will be set to 0; this is useful to denoise the steady state of ND and focus only on the highest scores |
Value
a list with:
mND: mND scoret: sum of top k neighbours
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.