Flow cytometry dataset
This flow cytometry data represent abundances of fluorescent molecules labeling antibodies that bind to specific targets on the surface of blood cells. The phenotype and function of individual cells can be identified by decoding these label combinations. The analyzed data set contains measurements of 40,000 single cells. The measurement fluorescence intensity conveying the abundance information were collected at five different bands corresponding to the FITC, PE, ECD, PC5, and PC7 fluorescent labels tagging antibodies against CD4, CD8, CD19, CD45, and CD3 epitopes. The measurements are represented as a 40,000 x 5 data matrix.
- Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices.
Austin R. Benson, Jason D. Lee, Bartek Rajwa, and David F. Gleich.
Advances in Neural Information Processing Systems (NeurIPS), 2014. [bibtex]