Comments (5)
Hi,
It could be quite a lot reasons since I am not aware of the input data format.
Did you follow the steps in our vignette? Or is there any warning/error information you can provide?
Perhaps you could firstly check if the gene identifiers or cell names are properly set? Then whether the data is well normalized to gain a non-zero minimum value?
And also check the integrated data matrix in the out put list, to see if the integration is done perfectly?
Best,
Weiyan
from landscent.
Thanks for your quickly reply.
Here is my code.
`
library(Seurat)
require(scater)
library(LandSCENT)
require(AnnotationDbi)
require(org.Hs.eg.db)
data(net17Jan16.m)
tumor info
tumor <- readRDS("./result/integration/seurat/seurat_integration1.rds")
tumor_sce <- as.SingleCellExperiment(tumor, assay = "RNA")
tumor_sce <- normalize(tumor_sce, log_exprs_offset = 1.1)
tumor.m <- as.matrix(assay(tumor_sce, i = "logcounts"))
min(tumor.m)
anno.v <- mapIds(org.Hs.eg.db, keys = rownames(tumor.m), keytype = "SYMBOL",
column = "ENTREZID", multiVals = "first")
unique_anno.v <- unique(anno.v)
tumor_New.m <- matrix(0, nrow = length(unique_anno.v), ncol = dim(tumor.m)[2])
for (i in seq_len(length(unique_anno.v))) {
tmp <- tumor.m[which(anno.v == unique_anno.v[i]) ,]
if (!is.null(dim(tmp))) {
tmp <- colSums(tmp) / dim(tmp)[1]
}
tumor_New.m[i ,] <- tumor_New.m[i ,] + tmp
}
rownames(tumor_New.m) <- unique_anno.v
colnames(tumor_New.m) <- colnames(tumor.m)
tumor_New.m <- tumor_New.m[-which(rownames(tumor_New.m) %in% NA) ,]
tumor_New2.m <- tumor_New.m
Integration.l <- DoIntegPPI(exp.m = tumor_New2.m, ppiA.m = net17Jan16.m)
str(Integration.l)
SR.o <- CompSRana(Integration.l, local = TRUE, mc.cores = 6)
`
from landscent.
Hi,
Thanks for providing your script.
But unfortunately, I do not spot anything wrong. This seems to be the standard procedure as I suggested in the vignette T_T
However could you tell me, in the 'Integration.l$expMC' matrix, how many genes are left?
Best,
Weiyan
from landscent.
`
dim(Integration.l$expMC)
10266 18489
`
10266 genes left
from landscent.
emmmmmm.....Seems also fine.
No idea what is going on here T_T
from landscent.
Related Issues (17)
- install HOT 3
- DoIntegPPI gene identifier error HOT 3
- Hi,
- Hi, HOT 2
- Out of memory HOT 4
- net13Jun12.m and net17Jan16.m contain duplicate rows and columns HOT 2
- Error: Failed to install 'unknown package' from GitHub HOT 8
- Comparison between different Data sets HOT 3
- Error at the InferLandmark() step HOT 6
- CellSR.o not showing the tsne plot and DoDiffusionMap.o$root is not calculated HOT 4
- Error: Failed to install 'unknown package' from GitHub: Line starting 'Lice ...' is malformed! HOT 2
- Error while plotting boxplot and calculating InferPotency HOT 10
- Error: Failed to install 'LandSCENT' from GitHub: stderr is not a pipe HOT 3
- Plot_DiffusionMap colour by phenotype HOT 2
- Windows does not support 'mc.cores' > 1 HOT 3
- Seurat object how to switch to a singlecellexperiment matrix to use LandSCENT?and I wonder the time about running time in 10000 cells conditions? HOT 1
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from landscent.