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Hi,
I am following the workshop and have a conceptual question. Should counting size factor should be performed samplewise or on the samples altogether?
Put in another way,
library(MouseGastrulationData)
sce <- WTChimeraData(samples=5:10, type = "processed")
colData(sce)
## DataFrame with 20935 rows and 11 columns
## cell barcode sample stage tomato
## <character> <character> <integer> <character> <logical>
## cell_9769 cell_9769 AAACCTGAGACTGTAA 5 E8.5 TRUE
## cell_9770 cell_9770 AAACCTGAGATGCCTT 5 E8.5 TRUE
## cell_9771 cell_9771 AAACCTGAGCAGCCTC 5 E8.5 TRUE
## cell_9772 cell_9772 AAACCTGCATACTCTT 5 E8.5 TRUE
## cell_9773 cell_9773 AAACGGGTCAACACCA 5 E8.5 TRUE
## ... ... ... ... ... ...
## cell_30699 cell_30699 TTTGTCACAGCTCGCA 10 E8.5 FALSE
## cell_30700 cell_30700 TTTGTCAGTCTAGTCA 10 E8.5 FALSE
## cell_30701 cell_30701 TTTGTCATCATCGGAT 10 E8.5 FALSE
## cell_30702 cell_30702 TTTGTCATCATTATCC 10 E8.5 FALSE
## cell_30703 cell_30703 TTTGTCATCCCATTTA 10 E8.5 FALSE
## pool stage.mapped celltype.mapped closest.cell
## <integer> <character> <character> <character>
## cell_9769 3 E8.25 Mesenchyme cell_24159
## cell_9770 3 E8.5 Endothelium cell_96660
## cell_9771 3 E8.5 Allantois cell_134982
## cell_9772 3 E8.5 Erythroid3 cell_133892
## cell_9773 3 E8.25 Erythroid1 cell_76296
## ... ... ... ... ...
## cell_30699 5 E8.5 Erythroid3 cell_38810
## cell_30700 5 E8.5 Surface ectoderm cell_38588
## cell_30701 5 E8.25 Forebrain/Midbrain/H.. cell_66082
## cell_30702 5 E8.5 Erythroid3 cell_138114
## cell_30703 5 E8.0 Doublet cell_92644
## doub.density sizeFactor
## <numeric> <numeric>
## cell_9769 0.02985045 1.41243
## cell_9770 0.00172753 1.22757
## cell_9771 0.01338013 1.15439
## cell_9772 0.00218402 1.28676
## cell_9773 0.00211723 1.78719
## ... ... ...
## cell_30699 0.00146287 0.389311
## cell_30700 0.00374155 0.588784
## cell_30701 0.05651258 0.624455
## cell_30702 0.00108837 0.550807
## cell_30703 0.82369305 1.184919
How's the sizeFactor calculated, samplewise or altogether?
Many thanks,
y
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