Description Usage Arguments Value
View source: R/Deconvolution.R
Function that perform a boostrap process from one cluster over a set of other clusters applying at the end outlier analysis with dbscan.
1 2 3 4 5 6 7 8 9 10 11 | bootstrap_gene_finder(
cluster_number,
seurat_object,
LFC.lim = 0.2,
use_limit = FALSE,
maximo_genes = 20,
bootstrap.number = 100,
bootstrap.sample_size = NULL,
min.p.adj_value = 0,
...
)
|
cluster_number |
Cluster number that the function has to process (TODO create a generalization for dataset with cluster with different names) |
seurat_object |
Seural object for single cells that enable us to apply the function FindMarkers |
LFC.lim |
a threshold of log fold change when selecting genes as input to perform Wilcoxon's test. |
use_limit |
TRUE/FALSE. If the process selects just a fixed number of genes. |
maximo_genes |
Maximum number of genes that have to be selected. |
bootstrap.number |
How many boostraping loops the algorithm is going to execute |
min.p.adj_value |
Value that should be greater or equal to zero. Normally it is 0.05 |
List with the marker genes
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