chooseBest | Choose best combination of clusters and deconvolve |
clusdecAccuracy | Accuracy for all combination of clusters |
clusterCosine | Cosine simillarity clustering |
collapseGenes | Collapse Genes |
countInside | Check how many points are inside of given simplex |
datasetLiverBrainLung | GSE19830 dataset |
deconvolve | Deconvolution by it self |
deconvolveClusters | Deconvolution by given set of clusters |
dimensionality_reconstruction | Dimensionality reconstruction |
dimensionality_reduction | SVD based dimensionality reduction |
dim_error | Out of space error |
estimateAdditiveNoise | Estimate additive noise |
estimateNoise | Noise estimation |
estimateSnr | Signal To Noise estimation |
evalClusters | Evaluate accuracy of combination |
fastDSA | Fast DSA algorithm implementation |
geneMarkerStats | Get gene stats |
generateMixedData | Generate mixed data with or without noise |
getDenseEndpoints | getting simplex endpoints |
hinge | Hinge function |
hyperVolume | Compute the volume of the given simplex |
hysime | HySime |
markersFromDist | Title |
pairwiseDemingRegression | Pairwise Deming regression fits between genes |
pairwiseLinearFit | Pairwise linear fits between genes |
plotProportions | Draw a plot of estimated proportions |
point_selection | Selection of points at the ends of simplex using VCA... |
point_selection_iea | Selection of points at the ends of simplex using IEA... |
preprocessDataset | Preprocess Dataset |
preprocessGSE | Preprocess GSE Dataset |
proportionsLiverBrainLung | GSE19830 proportions |
pureDsa | DSA algorithm implementation for pure points |
runDSA | Run DSA by clusters |
sampleFromSimplexUniformly | Generation of points uniformly distributed on k-dimensional... |
simplexDensity | Check how many points are inside of given simplex |
simplexEDensity | Check how many points are inside of given simplex |
simplexRDensity | Root density |
sisal | SISAL algorithm |
softNeg | Soft negative score |
vca | Title |
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