Hello, I am having trouble integrating two multimodal datasets. For both datasets, RNA and ATAC-sequencing was performed in the same cell.
I ran the code below after I followed the https://stuartlab.org/signac/articles/pbmc_multiomic for each dataset:
multimodal.dataset1 <- FindMultiModalNeighbors(multimodal.dataset1, reduction.list = list("pca", "lsi"),
dims.list = list(1:50, 2:50)) #contains RNA and ATAC sequencing for dataset1
multimodal.dataset2 <- FindMultiModalNeighbors(multimodal.dataset2, reduction.list = list("pca", "lsi"),
dims.list = list(1:50, 2:50)) #contains RNA and ATAC sequencing for dataset2
Hello, I am having trouble integrating two multimodal datasets. For both datasets, RNA and ATAC-sequencing was performed in the same cell.
I ran the code below after I followed the https://stuartlab.org/signac/articles/pbmc_multiomic for each dataset: multimodal.dataset1 <- FindMultiModalNeighbors(multimodal.dataset1, reduction.list = list("pca", "lsi"), dims.list = list(1:50, 2:50)) #contains RNA and ATAC sequencing for dataset1
multimodal.dataset2 <- FindMultiModalNeighbors(multimodal.dataset2, reduction.list = list("pca", "lsi"), dims.list = list(1:50, 2:50)) #contains RNA and ATAC sequencing for dataset2
multimodal.dataset1 <- RunUMAP(multimodal.dataset1, nn.name = "weighted.nn", reduction.name = "wnn.umap", reduction.key = "wnnUMAP_") multimodal.dataset1 <- FindClusters(multimodal.dataset1, graph.name = "wsnn", algorithm = 3, verbose = FALSE)
multimodal.dataset2 <- RunUMAP(multimodal.dataset2, nn.name = "weighted.nn", reduction.name = "wnn.umap", reduction.key = "wnnUMAP_") multimodal.dataset2 <- FindClusters(multimodal.dataset2, graph.name = "wsnn", algorithm = 3, verbose = FALSE)
I then want to combine multimodal.dataset1 and multimodal.dataset2. Is there a way to do this?