automated clustering for large data sets (ACCENSE)
I'm writing to inquire about the application of ACCENSE for large data sets (>100,000) obtained by CyTOF. Running ACCENSE on downsampled data of 20,000 points yielded in a reasonable number of clusters, but produced over 240 clusters when applied to my complete data set of approx. 350,000 points. Since it is critical for us to run many data points in order to identify rare cell types, etc, does anyone know how to effectively apply ACCENSE for automatically clustering large data sets? The Chakraborty, et. al paper mentions "projectiong additional points in the t-SNE map" in its supporting materials...but didn't quite get how to apply that.
Thanks!
Joel