fcnnls |
Fast Combinatorial Non-Negative Least-Square |
fcnnls-method |
Fast Combinatorial Non-Negative Least-Square |
featureNames |
Interface Class for Nonnegative Matrix Factorisation Models |
featureNames-method |
Interface Class for Nonnegative Matrix Factorisation Models |
featureNames-method |
Virtual Class to Handle Results from Multiple Runs of a NMF Algorithms |
featureNames<- |
Interface Class for Nonnegative Matrix Factorisation Models |
featureNames<--method |
Interface Class for Nonnegative Matrix Factorisation Models |
featureScore |
Class and Utility Methods for NMF objects |
featureScore-method |
Class and Utility Methods for NMF objects |
fit |
Base Class for to store Nonnegative Matrix Factorisation results |
fit-method |
Base Class for to store Nonnegative Matrix Factorisation results |
fit-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Only the Best Fit is Kept |
fit-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
fit-method |
Handling Results from Multiple NMF Runs |
fit-methods |
Base Class for to store Nonnegative Matrix Factorisation results |
fit<- |
Base Class for to store Nonnegative Matrix Factorisation results |
fit<--method |
Base Class for to store Nonnegative Matrix Factorisation results |
fitted-method |
Interface Class for Nonnegative Matrix Factorisation Models |
fitted-method |
Nonnegative Matrix Factorization with Offset |
fitted-method |
Base Class for to store Nonnegative Matrix Factorisation results |
fitted-method |
Nonsmooth Nonnegative Matrix Factorization |
fitted-method |
Implement of the standard NMF model |
nbasis |
Interface Class for Nonnegative Matrix Factorisation Models |
nbasis-method |
Interface Class for Nonnegative Matrix Factorisation Models |
niter |
Base Class for to store Nonnegative Matrix Factorisation results |
niter-method |
Base Class for to store Nonnegative Matrix Factorisation results |
niter-methods |
Base Class for to store Nonnegative Matrix Factorisation results |
niter<--method |
Base Class for to store Nonnegative Matrix Factorisation results |
nmeta |
Layer to use the NMF package within Bioconductor |
nmeta-method |
Layer to use the NMF package within Bioconductor |
nmeta-methods |
Layer to use the NMF package within Bioconductor |
NMF |
NMF Package Overview |
nmf |
Main Interface to run NMF algorithms |
NMF Algorithms |
Main Interface to run NMF algorithms |
NMF-advanced |
Advanced usage of package NMF |
NMF-bioc |
Layer to use the NMF package within Bioconductor |
NMF-class |
Interface Class for Nonnegative Matrix Factorisation Models |
nmf-compare |
Comparing Results from Different NMF Runs |
nmf-method |
Main Interface to run NMF algorithms |
nmf-methods |
Main Interface to run NMF algorithms |
nmf-multiple |
Handling Results from Multiple NMF Runs |
NMF-options |
Package Specific Option Management |
NMF-utils |
Class and Utility Methods for NMF objects |
nmf.getOption |
Package Specific Option Management |
nmf.options |
Package Specific Option Management |
nmf.options.reset |
Package Specific Option Management |
nmf.options.runtime |
Package Specific Option Management |
nmfApply |
Class and Utility Methods for NMF objects |
nmfApply-method |
Class and Utility Methods for NMF objects |
nmfEstimateRank |
Estimate optimal rank for Nonnegative Matrix Factorization (NMF) models |
NMFfit-class |
Base Class for to store Nonnegative Matrix Factorisation results |
NMFfitX-class |
Virtual Class to Handle Results from Multiple Runs of a NMF Algorithms |
NMFfitX1-class |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Only the Best Fit is Kept |
NMFfitXn-class |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
NMFList-class |
Class "NMFList" to Handle the Comparison of NMF Results |
nmfModel |
Factory Method for NMF Models |
nmfModel-method |
Factory Method for NMF Models |
nmfModel-methods |
Factory Method for NMF Models |
NMFns-class |
Nonsmooth Nonnegative Matrix Factorization |
NMFOffset-class |
Nonnegative Matrix Factorization with Offset |
NMFSet-class |
Deprecated Class to store results from multiple runs of NMF algorithms |
NMFstd-class |
Implement of the standard NMF model |
nrun |
Handling Results from Multiple NMF Runs |
nrun-method |
Base Class for to store Nonnegative Matrix Factorisation results |
nrun-method |
Virtual Class to Handle Results from Multiple Runs of a NMF Algorithms |
nrun-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Only the Best Fit is Kept |
nrun-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
nrun-methods |
Handling Results from Multiple NMF Runs |
plot-method |
Class and Utility Methods for NMF objects |
plot-method |
Comparing Results from Different NMF Runs |
plot.NMF.rank |
Estimate optimal rank for Nonnegative Matrix Factorization (NMF) models |
predict |
Class and Utility Methods for NMF objects |
predict-method |
Class and Utility Methods for NMF objects |
predict-method |
Handling Results from Multiple NMF Runs |
predict-methods |
Class and Utility Methods for NMF objects |
purity |
Class and Utility Methods for NMF objects |
purity-method |
Class and Utility Methods for NMF objects |
purity-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
purity-methods |
Class and Utility Methods for NMF objects |
randomize |
Class and Utility Methods for NMF objects |
residuals |
Class and Utility Methods for NMF objects |
residuals-method |
Class and Utility Methods for NMF objects |
residuals-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
residuals<- |
Base Class for to store Nonnegative Matrix Factorisation results |
residuals<--method |
Base Class for to store Nonnegative Matrix Factorisation results |
residuals<--methods |
Base Class for to store Nonnegative Matrix Factorisation results |
rmatrix |
Generates a Random Matrix Using Any Given Distribution Function |
rnmf |
Interface Class for Nonnegative Matrix Factorisation Models |
rnmf-method |
Interface Class for Nonnegative Matrix Factorisation Models |
rnmf-method |
Nonnegative Matrix Factorization with Offset |
rnmf-methods |
Interface Class for Nonnegative Matrix Factorisation Models |
rss |
Class and Utility Methods for NMF objects |
rss-method |
Class and Utility Methods for NMF objects |
runtime |
Base Class for to store Nonnegative Matrix Factorisation results |
runtime-method |
Class "NMFList" to Handle the Comparison of NMF Results |
runtime-method |
Base Class for to store Nonnegative Matrix Factorisation results |
runtime.all |
Handling Results from Multiple NMF Runs |
runtime.all-method |
Base Class for to store Nonnegative Matrix Factorisation results |
runtime.all-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Only the Best Fit is Kept |
runtime.all-method |
Handling Results from Multiple NMF Runs |
runtime.all-methods |
Handling Results from Multiple NMF Runs |
sampleNames |
Interface Class for Nonnegative Matrix Factorisation Models |
sampleNames-method |
Interface Class for Nonnegative Matrix Factorisation Models |
sampleNames-method |
Virtual Class to Handle Results from Multiple Runs of a NMF Algorithms |
sampleNames<- |
Interface Class for Nonnegative Matrix Factorisation Models |
sampleNames<--method |
Interface Class for Nonnegative Matrix Factorisation Models |
seed |
Main Interface to run NMF algorithms |
seeding |
Base Class for to store Nonnegative Matrix Factorisation results |
seeding-method |
Base Class for to store Nonnegative Matrix Factorisation results |
seeding-methods |
Base Class for to store Nonnegative Matrix Factorisation results |
seeding<- |
Base Class for to store Nonnegative Matrix Factorisation results |
seeding<--method |
Base Class for to store Nonnegative Matrix Factorisation results |
seqtime |
Handling Results from Multiple NMF Runs |
seqtime-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
seqtime-methods |
Handling Results from Multiple NMF Runs |
show-method |
Interface Class for Nonnegative Matrix Factorisation Models |
show-method |
Class "NMFList" to Handle the Comparison of NMF Results |
show-method |
Nonnegative Matrix Factorization with Offset |
show-method |
Base Class for to store Nonnegative Matrix Factorisation results |
show-method |
Virtual Class to Handle Results from Multiple Runs of a NMF Algorithms |
show-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Only the Best Fit is Kept |
show-method |
Class to Store the Result from Multiple Runs of a NMF Algorithm when Keeping All the Fits |
show-method |
Nonsmooth Nonnegative Matrix Factorization |
smoothing |
Nonsmooth Nonnegative Matrix Factorization |
smoothing-method |
Nonsmooth Nonnegative Matrix Factorization |
smoothing-methods |
Nonsmooth Nonnegative Matrix Factorization |
sparseness |
Class and Utility Methods for NMF objects |
sparseness-method |
Class and Utility Methods for NMF objects |
sparseness-methods |
Class and Utility Methods for NMF objects |
subset-NMF |
Subset method for objects of class NMF |
summary-method |
Interface Class for Nonnegative Matrix Factorisation Models |
summary-method |
Base Class for to store Nonnegative Matrix Factorisation results |
summary-method |
Comparing Results from Different NMF Runs |
summary-method |
Handling Results from Multiple NMF Runs |
syntheticNMF |
Class and Utility Methods for NMF objects |