Description Usage Arguments Value Examples
A wrapper function for efficiently reading in user-specified random forest
models generated by preciseTAD::TADrandomForest
, built on cell-line
specific CTCF, RAD21, SMC3, and ZNF143 ChIP-seq peak regions.
1 |
chr |
Which chromosome was used as the holdout during the training process. That is, all other chromosomes were combined when building the random forest. |
cl |
The cell line that was used (either "GM12878" or "K562") |
gt |
The ground-truth TAD or chromatin loop boundaries used to construct the binary response vector (either "Arrowhead" or "Peakachu". |
source |
The source of the files stored on ExperimentHub using query(hub, "package_name"). |
A trained model object from caret
1 2 3 4 5 6 7 8 9 10 11 12 13 | # Suppose we want to read in the model that was built using CHR1-CHR21,
# on GM12878, using Arrowhead defined TAD boundaries at 5kb resolution.
#Initialize ExperimentHub
library(ExperimentHub)
hub <- ExperimentHub()
query(hub, "preciseTADhub")
myfiles <- query(hub, "preciseTADhub")
CHR22_GM12878_5kb_Arrowhead <- readEH(chr = "CHR22",
cl = "GM12878",
gt = "Arrowhead",
source = myfiles)
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