cyto: Flow cytometry data
In cambroise/LITree: Latent Incomplete Tree Inference via Graphical Gaussian Model

Description Usage Format Author(s) References Examples

The Raf network is implied in the regulation of cellular proliferation. The data were collected by (Sachs et al., 2005). Flow cytometry measurements consist in sending unique cells suspended in a fluid through a laser beam, and measuring parameters of interest by collecting the light re-emitted by the cell by diffusion or fluores- cence. In this study, the parameters of interest are the activation level of 11 proteins and phospholipids involved in the Raf pathway, and are measured by flow cytometry across 100 different cells.

1	data(cyto)

A dataframe X.raf with 100 lines (cells) and 11 columns (proteins) and an adjacency matrix A.raf describing the network.

Christophe Ambroise christophe.ambroise@univ-evry.fr

Sachs, K., O. Perez, D. Pe<e2><80><99>er, D. A. Lauffenburger, and G. P. Nolan (2005). Causal protein- signaling networks derived from multiparameter single-cell data. Science 308, 523<e2><80><93>529.

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data(cyto)
plot.igraph(graph_from_adjacency_matrix(A.raf),edge.arrow.size=0, vertex.color="gold", vertex.size=15, vertex.frame.color="gray", vertex.label.color="black", vertex.label.cex=0.8,vertex.label.dist=0)