... | ... |
@@ -1,7 +1,7 @@ |
1 | 1 |
Package: pipeComp |
2 | 2 |
Type: Package |
3 | 3 |
Title: pipeComp pipeline benchmarking framework |
4 |
-Version: 0.99.38 |
|
4 |
+Version: 0.99.39 |
|
5 | 5 |
Depends: R (>= 4.0) |
6 | 6 |
Authors@R: c( |
7 | 7 |
person("Pierre-Luc", "Germain", email="[email protected]", role=c("cre","aut"), comment = c(ORCID = "0000-0003-3418-4218")), |
... | ... |
@@ -63,7 +63,7 @@ seWrap <- function(sce, min.cells=10, min.features=0){ |
63 | 63 |
min.features=min.features, |
64 | 64 |
meta.data=as.data.frame(colData(sce)), |
65 | 65 |
project = "scRNAseq" ) |
66 |
- Misc(se)$rowData <- as.data.frame(rowData(sce)) |
|
66 |
+ Misc(se, "rowData") <- as.data.frame(rowData(sce)) |
|
67 | 67 |
if("logcounts" %in% assayNames(sce)){ |
68 | 68 |
se <- ScaleData(se, verbose = FALSE) |
69 | 69 |
sce <- sce[row.names(se),] |
... | ... |
@@ -92,7 +92,7 @@ sceWrap <- function(seu) { |
92 | 92 |
sce <- sce[row.names(norm),] |
93 | 93 |
logcounts(sce) <- norm |
94 | 94 |
} |
95 |
- rowData(sce) <- Misc(seu)$rowData[row.names(sce),] |
|
95 |
+ rowData(sce) <- Misc(seu, "rowData")[row.names(sce),] |
|
96 | 96 |
if(length(VariableFeatures(seu))) |
97 | 97 |
metadata(sce)$VariableFeats <- VariableFeatures(seu) |
98 | 98 |
if(length(Reductions(seu))>0){ |