rmse: Calculate the differences between proportions predicted by...
In DeconRNASeq: Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data
Description
Usage
Arguments
Value
Author(s)
References
Description
A function is used to calculate the root-mean-square error (RMSE) for the accurracy of estimated proportions.
Usage
1
rmse(x, y)
Arguments
x
proportions from the actual measurement
y
estimated proportions from our deconvolution
Value
A number for RMSE
Author(s)
Ting Gong tinggong@gmail.com
Joseph D. Szustakowski joseph.szustakowski@novartis.com
References
Gong, T., et al. (2011)
Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples,
PLoS One, 6, e27156.
DeconRNASeq documentation built on Nov. 8, 2020, 7:51 p.m.
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Description Usage Arguments Value Author(s) References
Description
A function is used to calculate the root-mean-square error (RMSE) for the accurracy of estimated proportions.
Usage
1 | rmse(x, y)
|
Arguments
x |
proportions from the actual measurement |
y |
estimated proportions from our deconvolution |
Value
A number for RMSE
Author(s)
Ting Gong tinggong@gmail.com Joseph D. Szustakowski joseph.szustakowski@novartis.com
References
Gong, T., et al. (2011) Optimal Deconvolution of Transcriptional Profiling Data Using Quadratic Programming with Application to Complex Clinical Blood Samples, PLoS One, 6, e27156.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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