CoNGAfy | R Documentation |
Generate a single-cell object that has a representation of RNA expression by clonotype. This approach was first introduced in CoNGA and was adapted to R. Please read and cite the author's work.
CoNGAfy(
input.data,
method = "dist",
features = NULL,
assay = "RNA",
meta.carry = c("CTaa", "CTgene")
)
input.data |
Single Cell Object in Seurat or Single Cell Experiment format |
method |
"mean" or "dist" Generate a mean value across features by clonotype or use the PCA reduction to identify the cell with the minimal euclidean distance from the clonotype group. |
features |
Selected genes for the reduction DEFAULT: null will return all genes |
assay |
The name of the assay or assays to return. |
meta.carry |
Variables to carry over from the meta data of the single-cell object |
Single-cell Object with one cell representing a single clone
trex_values <- CoNGAfy(trex_example,
method = "dist",
features = NULL)
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