ExtractTopFeaturesST: Extract top features

In ludvigla/spaceST: spaceST

Description

Extract top features

Usage

ExtractTopFeaturesST(object, top_features = 1000, method = "poisson",
  options = "min", shared = FALSE)

Arguments

object	Object of class spaceST.
method	The underlying model assumed for KL divergence measurement. Two choices considered are "bernoulli" and "poisson". Default: poisson.
shared	if TRUE, then we report genes that can be highly expressed in more than one cluster. Else, we stick to only those genes that are highest expressed only in a specific cluster.
top.features	The top features in each cluster k that are selected based on the feature's ability to distinguish cluster k from cluster 1, <e2><80><a6>, K for all cluster k < l. Default: 1000.
option	if "min", for each cluster k, we select features that maximize the minimum KL divergence of cluster k against all other clusters for each feature. If "max", we select features that maximize the maximum KL divergence of cluster k against all other clusters for each feature.

See Also

ExtractTopFeatures

ludvigla/spaceST documentation built on May 29, 2019, 3:43 a.m.