... | ... |
@@ -53,7 +53,7 @@ plot_heatmap_globalbv <- function(globalbv, |
53 | 53 |
limits.colour = NULL, |
54 | 54 |
dist.method = "euclidean", |
55 | 55 |
hclust.method = "average", |
56 |
- threshold = 0.05 |
|
56 |
+ threshold = 0.05 |
|
57 | 57 |
){ |
58 | 58 |
p1 <- f1 <- p.lisa.l <- p.lisa.t <- p.moran.l <- p.moran.t <- NULL |
59 | 59 |
flag.square <- FALSE |
... | ... |
@@ -106,7 +106,7 @@ pdac_a_spe <- runSGSA(pdac_a_spe, |
106 | 106 |
gset.idx.list = CancerSEASymbol, # The target gene set list |
107 | 107 |
assay.type = 'logcounts', # The name of assays of gene profiler |
108 | 108 |
gsvaExp.name = 'CancerSEA' # The name of result to save to gsvaExps slot |
109 |
- ) |
|
109 |
+ ) |
|
110 | 110 |
|
111 | 111 |
# Then the result was added to gsvaExps to return a SVPExperiment object, the result |
112 | 112 |
# can be extracted with gsvaExp, you can view more information via help(gsvaExp). |