Description Usage Arguments Value Examples
View source: R/loadOvarianEsets.R
This function returns ovarian cancer datasets from the hub and a vector of patients from the datasets that are most likely duplicates
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removeDuplicates |
remove patients with a Spearman correlation greater than or equal to 0.98 with other patient expression profiles (default TRUE) |
quantileCutoff |
A nueric between 0 and 1 specifying to remove genes with standard deviation below the required quantile (default 0) |
rescale |
apply centering and scaling to the expression sets (default FALSE) |
minNumberGenes |
an integer specifying to remove expression sets with less genes than this number (default 0) |
minNumberEvents |
an integer specifying how man survival events must be in the dataset to keep the dataset (default 0) |
minSampleSize |
an integer specifying the minimum number of patients required in an eset (default 0) |
removeRetracted |
remove datasets from retracted papers (default TRUE, currently just PMID17290060 dataset) |
removeSubsets |
remove datasets that are a subset of other datasets (defeault TRUE, currently just PMID19318476) |
keepCommonOnly |
remove probes not common to all datasets (default FALSE) |
imputeMissing |
remove patients from datasets with missing expression values |
a list with 2 elements. The First element named esets contains the datasets. The second element named duplicates contains a vector with patient IDs for the duplicate patients (those with Spearman correlation greater than or equal to 0.98 with other patient expression profiles).
1 | esetsAndDups = loadOvarianEsets()
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