@@ -20,6 +20,7 @@ generate_moransI <- function(adata) {
2020
2121
2222generate_cosine <- function (real , sim ) {
23+ requireNamespace(" lsa" , quietly = TRUE )
2324 real_new <- real [! is.na(real ) & ! is.na(sim )]
2425 sim_new <- sim [! is.na(real ) & ! is.na(sim )]
2526 similarity <- lsa :: cosine(lsa :: as.textmatrix(cbind(as.vector(real_new $ Morans.I ), as.vector(sim_new $ Morans.I ))))
@@ -70,23 +71,24 @@ calculate_recall <- function(real_svg, sim_svg) {
7071}
7172
7273# cell type deconvolution
73- CARD_processing <- function (sp_adata , sc_adata ){
74+ CARD_processing <- function (sp_adata , sc_adata ) {
75+ requireNamespace(" MuSiC" , quietly = TRUE )
76+ requireNamespace(" CARD" , quietly = TRUE )
77+
7478 spatial_count <- Matrix :: t(sp_adata $ layers [[" counts" ]])
75- spatial_location <- cbind. data.frame(
76- x = sp_adata $ obs $ col ,
77- y = sp_adata $ obs $ row
79+ spatial_location <- data.frame (
80+ x = as.numeric( sp_adata $ obs $ col ) ,
81+ y = as.numeric( sp_adata $ obs $ row )
7882 )
79- spatial_location $ col <- as.numeric(spatial_location $ col )
80- spatial_location $ row <- as.numeric(spatial_location $ row )
8183 sc_count <- Matrix :: t(sc_adata $ layers [[" counts" ]])
82- sc_meta <- cbind. data.frame(
84+ sc_meta <- data.frame (
8385 cellID = rownames(sc_adata ),
84- cellType = input_sc $ obs $ cell_type ,
85- sampleInfo = input_sc $ obs $ donor_id
86+ cellType = sc_adata $ obs $ cell_type ,
87+ sampleInfo = sc_adata $ obs $ donor_id
8688 )
8789 rownames(sc_meta ) <- sc_meta $ cellID
8890 rownames(spatial_location ) <- colnames(spatial_count )
89- print( 89 )
91+
9092 CARD_obj <- CARD :: createCARDObject(
9193 sc_count = sc_count ,
9294 sc_meta = sc_meta ,
@@ -96,10 +98,9 @@ CARD_processing <- function(sp_adata, sc_adata){
9698 ct.select = unique(sc_meta $ cellType ),
9799 sample.varname = " sampleInfo" ,
98100 minCountGene = 100 ,
99- minCountSpot = 5 )
100- print(100 )
101+ minCountSpot = 5 )
101102 CARD_obj <- CARD :: CARD_deconvolution(CARD_object = CARD_obj )
102- print( 102 )
103+
103104 Proportion_CARD <- as.matrix(CARD_obj @ Proportion_CARD )
104105
105106 return (Proportion_CARD )
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