sachs: Sachs multiparameter flow cytometry data and consensus model

In SEMgraph: Network Analysis and Causal Inference Through Structural Equation Modeling

Sachs multiparameter flow cytometry data and consensus model

Description

Flow cytometry data and causal model from Sachs et al. (2005).

Usage

sachs

Format

"sachs" is a list of 5 objects:

1. "rawdata", a list of 14 data.frames containing raw flow cytometry data (Sachs et al., 2005);

2. "graph", consensus signaling network;

3. "model", consensus model (lavaan syntax);

4. "pkc", data.frame of 1766 samples and 11 variables, containing cd3cd28 (baseline) and pma (PKC activation) data;

5. "group", a binary group vector, where 0 is for cd3cd28 samples (n = 853) and 1 is for pma samples (n = 913).

6. "details", a data.frame containing dataset information.

Source

\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1126/science.1105809")}

References

Sachs K, Perez O, Pe'er D, Lauffenburger DA, Nolan GP (2019). Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data. Science, 308(5721): 523-529.

Examples

# Dataset content
names(sachs$rawdata)
dim(sachs$pkc)
table(sachs$group)
cat(sachs$model)
gplot(sachs$graph)

SEMgraph documentation built on Sept. 11, 2024, 8:36 p.m.