View source: R/SummarizeMultiRuns.R
SummarizeMultiRuns | R Documentation |
Summarize results from each computational approach in resultPath
/run.names
(generated by running a computational approach),
combine them into resultPath
.
SummarizeMultiRuns(datasetName, toolName, resultPath, run.names)
datasetName |
Name of the dataset. (e.g. "S.0.1.Rsq.0.1").
Usually, it is has the same name as |
toolName |
Name of computational approach. (e.g. "SigProExtractor") |
resultPath |
Path expected to have multiple result folders each
named as |
run.names |
A character vector records the list of directories
which are under |
Also writes multiple files into folder resultPath
.
A list contain values of measures measures in multiple runs:
$averCosSim Average cosine similarity. Only similarities between TP sigs and extracted sigs most similar to them.
$truePos True Positives(TP): Reference signatures which are active in the spectra, and extracted.
$falseNeg False Negatives(FN): Reference signatures not extracted.
$falsePos False Positives(FP): Signatures wrongly extracted, not resembling any reference signatures.
$TPR True positive rate (TPR, Sensitivity): TP / (TP + FN)
$PPV Positive predictive value (PPV, Precision): TP / (FP + TP)
$cosSim Cosine similarity between each of the reference signatures, and its most similar extracted signature.
$AggManhattanDist (if exposures of signatures were inferred) Scaled Manhattan distance between ground-truth and inferred exposures to each of the reference signatures.
This list also contains mean
and sd
, and other
statistics of these measures in
$fivenum - summary generated by fivenum
-
columns of this table refer to Tukey's five number summary
for each extraction measure across all runs:
min
- minimum
lower-hinge
- first quartile. Serve as the lower-hinge
of the box-whisker plot.
median
- median of measure across all runs.
upper-hinge
- third quartile. Serve as the upper-hinge
of the box-whisker plot.
max
- maximum
$fivenumMD - Tukey's five number summary for aggregately-scaled Manhattan distance.
$meanSD - mean and standard deviation for extraction measures.
$meanSDMD - mean and standard deviation for aggregately-scaled Manhattan distance.
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