Article
Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE).
Proceedings of the National Academy of Sciences of the United States of America - 7 Jan 2014
Shekhar Karthik, Brodin Petter, Davis Mark M, Chakraborty Arup K
Abstract excerpt
Mass cytometry enables an unprecedented number of parameters to be measured in individual cells at a high throughput, but the large dimensionality of the resulting data severely limits approaches relying on manual "gating." Clustering cells based on phenotypic similarity comes at a loss of single...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
