Description Usage Arguments Value Author(s)
View source: R/combineSumClustsDPM.R
Compute summary PSMs (posterior similarity matrices) from a set of multiple PSMs obtained for instance by means of subsampling. This implements the Dirichlet process and Pitman-Yor process based methods for combining PSMs proposed in Strauss et al. Unravelling shared pseudo-trajectories at single-cell resolution. Internal function
1 | computeSumClustPEAR(PSM, maxCl = 10)
|
PSM |
posterior similarity matrix |
maxCl |
maximum number of clusters |
Summary clustering computed using the PEAR criterion (Fritsch and Ickstadt, 2009, using the mcclust package (Fritsch, 2012))
Magdalena Strauss
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