Last data update: 2014.03.03

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Results 1 - 10 of 23 found.
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cell.ClustData (Package: immunoClust) :

Performs EM-iteration on cell events, where an initial event cluster membership is obtained by hierarchical clustering on a sample subset given a number of clusters.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.ClustData
● 0 images

cell.EM (Package: immunoClust) :

Performs EMt-iteration on cell event observations giving initial model parameters and returns the fitted clusters information in an object of class immunoClust.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.EM, cell.Estimation
● 0 images

cell.FitModel (Package: immunoClust) :

The function fits initial model parameters to specific observed cell event data. The function returns the cluster information of the fitted model in an object of class immunoClust.
● Data Source: BioConductor
● Keywords:
● Alias: cell.Classify, cell.FitModel
● 0 images

cell.ME (Package: immunoClust) :

Performs an EM-iteration on cell event observations given an initial cluster membership for the cell events and returns the fitted cluster information in an object of class immunoClust.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.ME
● 0 images

cell.SubClustering (Package: immunoClust) :

These function tests each cell-cluster of a model for refining it into more sub-clusters and returns the refined model parameter in an object of class immunoClust.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.SubClustering, cell.TestSubCluster
● 0 images

cell.hclust (Package: immunoClust) :

Performs model based agglomerative clustering on cell event observations with weights. It is used in the interative cell event clustering approach of immunoClust to obtain an initial cluster membership for the EM(t)-iteration.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.hclust
● 0 images

cell.process (Package: immunoClust) :

This function performs iterative model based clustering on cell-event data. It takes the observed cell-event data as major input and returns an object of class immunoClust, which contains the fitted mixture model parameter and cluster membership information. The additional arguments control the routines for data preprocessing, major loop and EMt-iteration, the model refinement routine and transformation estimation.
● Data Source: BioConductor
● Keywords: cluster
● Alias: cell.InitialModel, cell.MajorIterationLoop, cell.MajorIterationTrans, cell.classifyAll, cell.process
● 0 images

cell.removed (Package: immunoClust) :

Gives information about the amount of overexposed cell-event observetion in a FCS-file.
● Data Source: BioConductor
● Keywords:
● Alias: removed.above, removed.below
● 0 images

immunoClust-package (Package: immunoClust) :

Model based clustering and meta-custering routines for Flow Cytometry (FC) data.
● Data Source: BioConductor
● Keywords: package
● Alias: immunoClust, immunoClust-package, immunoClust.package
● 0 images

immunoClust-object (Package: immunoClust) : immunoClust-Object

The immunoClust object contains the clustering results in the immunoClust-pipeline as obtained by cell.process or meta.process.
● Data Source: BioConductor
● Keywords: print
● Alias: immunoClust-class, immunoClust.object, show, show,immunoClust-method, show.immunoClust, summary, summary,immunoClust-method, summary.immunoClust
● 0 images