Comparative identification of a low density population surrounded by much denser populations in the stem cell data set. (a-c) SamSPECTRAL correctly identified the blue, low density population, while (d-f) flowMerge merged it to the yellow, high density population. (g-i) FLAME merged it to the red population. (j-l) The outcome of our modified MCL was similar to that obtained by SamSPECTRAL using classic spectral clustering. This shows that SamSPECTRAL is extensible by substituting classic spectral clustering with other clustering algorithms for weighted graph.
Zare et al. BMC Bioinformatics 2010 11:403 doi:10.1186/1471-2105-11-403