Extract UCSC Cell Browser Datasets with Attributes.
ExtractCBDatasets.Rd
Extract UCSC Cell Browser Datasets with Attributes.
Usage
ExtractCBDatasets(
all.samples.df,
collection = NULL,
sub.collection = NULL,
organ = NULL,
disease = NULL,
organism = NULL,
project = NULL,
fuzzy.match = TRUE,
cell.num = NULL
)
Arguments
- all.samples.df
Dataframe contains all samples metadata, obtained with
ShowCBDatasets
.- collection
The collection of the datasets, corresponds to
shortLabel
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- sub.collection
The sub-collection of the datasets, corresponds to
subLabel
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- organ
The organ of the datasets, corresponds to
body_parts
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- disease
The disease of the datasets, corresponds to
diseases
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- organism
The specie of the datasets, corresponds to
organisms
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- project
The project of the datasets, corresponds to
projects
column ofShowCBDatasets
, obtain available values withStatDBAttribute
. Default: NULL (without filtering).- 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(without filtering).
Examples
# # lazy mode, load datasets json files locally
# 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))