View source: R/UCSCCellBrowser.R
ExtractCBComposition | R Documentation |
Extract Cell Type Composition of UCSC Cell Browser Datasets.
ExtractCBComposition(
json.folder = NULL,
sample.df = NULL,
all.samples.df = NULL,
collection = NULL,
sub.collection = NULL,
organ = NULL,
disease = NULL,
organism = NULL,
project = NULL,
fuzzy.match = TRUE,
cell.num = NULL
)
json.folder |
Folder contains datasets json files, same as |
sample.df |
Dataframe contains used datasets. Default: NULL. |
all.samples.df |
Dataframe contains all samples metadata, obtained with |
collection |
The collection of the datasets, corresponds to |
sub.collection |
The sub-collection of the datasets, corresponds to |
organ |
The organ of the datasets, corresponds to |
disease |
The disease of the datasets, corresponds to |
organism |
The specie of the datasets, corresponds to |
project |
The project of the datasets, corresponds to |
fuzzy.match |
Logical value, whether to perform fuzzy match with provided attribute values. Default: TRUE. |
cell.num |
Cell number filter. If NULL, no filter; if one value, lower filter; if two values, low and high filter. Deault: NULL. |
Dataframe contains sample information and cell type composition.
## Not run:
# lazy mode, load datasets json files locally, need users to provide json folder
ucsc.cb.samples <- ShowCBDatasets(lazy = TRUE, json.folder = NULL, update = FALSE)
# cell number is between 1000 and 2000
hbb.sample.df <- ExtractCBDatasets(
all.samples.df = ucsc.cb.samples, organ = c("brain", "blood"),
organism = "Human (H. sapiens)", cell.num = c(1000, 2000)
)
hbb.sample.ct <- ExtractCBComposition(json.folder = NULL, sample.df = hbb.sample.df)
## End(Not run)
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