accuracy
(Package: miRcomp) :
Assess the accuracy of the expression estimates
This function assesses the signal detect slope (a measure of accuracy) for each feature.
● Data Source:
BioConductor
● Keywords: manip
● Alias: accuracy
●
2 images
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completeFeatures
(Package: miRcomp) :
Determine the Number of Completely Observed Features
This function determines the number of features that are good quality and non-NA across all samples using a given quality threshold.
● Data Source:
BioConductor
● Keywords: manip
● Alias: completeFeatures
●
0 images
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expressionComp
(Package: miRcomp) :
Compare expression estimates between two methods
This function allows one to easily compare the expression estimates generated by two different algorithms. Feature / sample combinations that differ above a given threshold can be easily highlighted.
● Data Source:
BioConductor
● Keywords: manip
● Alias: expressionComp
●
1 images
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limitOfDetection
(Package: miRcomp) :
Assess the limit of detection of a given method
This function assesses the limit of detection in one of two ways: (1) the distribution of expression estimates stratified by the proportion of poor quality values within replicates, (2) the average vs expected expression for the two most diluted sample types.
● Data Source:
BioConductor
● Keywords: manip
● Alias: limitOfDetection
●
4 images
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precision
(Package: miRcomp) :
Assess the precision of the expression estimates
This function assesses the within-replicate precision for each feature.
● Data Source:
BioConductor
● Keywords: manip
● Alias: precision
●
2 images
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qualityAssessment
(Package: miRcomp) :
Quality Assessment for MicroRNA Expression Estimates
This function produces several figures to examine quality scores.
● Data Source:
BioConductor
● Keywords: manip
● Alias: qualityAssessment
●
2 images
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titrationResponse
(Package: miRcomp) :
Assess monotone signal across titration
This function determines
● Data Source:
BioConductor
● Keywords: manip
● Alias: titrationResponse
●
2 images
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