SSNcompute | R Documentation |
get all PCC values of exact feature from feature-coupled network
if the element (edge) is NA, this feature couple (nodes) will be ignored
SSNcompute(
ss_gex,
ref_gex,
delta_p = 0.1,
ref_p = 0.05,
prior_network = NULL,
nFirstOrderNeighbor = 3,
nSecondOrderNeighbor = 1,
sED_scale = TRUE,
save_dir = NULL,
quiet = FALSE
)
ss_gex |
gene expression matrix of single sample(s) |
ref_gex |
gene expression matrix of reference |
delta_p |
p_value threshold for delta PCC test |
ref_p |
p_value threshold for correlation test, when building gene network from reference |
prior_network |
the prior network, such as experimental protein-protein interaction (PPI network) NULL (default) or a data.frame that has 2 columns of node couples |
nFirstOrderNeighbor |
the least number of first-order neighbor(s) for each gene, default 3 |
nSecondOrderNeighbor |
the least number of second-order neighbor(s) for each gene, default 1 |
sED_scale |
whether to scale sED by standard deviation |
save_dir |
the directort for saving SSN network data.frame, default NULL (not save) |
quiet |
do not print output of process during calculation (against verbose), default FALSE |
S4::SSN object, output will be stored in object@network
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