`casc`

trains a logisitic regression model on provided single-cell RNAseq clusters. It creates an ROC curve for each cluster vs the others to help decide the appropriate number of clusters.

`casc`

can be installed via `devtools`

and github:

```
install.packages("devtools")
devtools::install_github("jamez-eh/casc")
```

`casc`

has the following parameters:

`sce`

: A`SingleCellExperiment`

with normalized logcounts as an assay or a logcounts matrix with cells as columns and genes as rows.`clusters`

: A list of clusterings to evaluate.`alpha`

: A parameter for logistic regression. alpha = 1 represents the lasso penalty and alpha = 0 represents the ridge penalty.

```
registerDoSEQ()
sce_sim <- readRDS("~/sce_sim.rds")
casc_list <- casc(sce = sce_sim,
clusters = list(clustering_1, clustering_2, clustering_3, clustering_4, clustering_5),
alpha = 0.5)
```

James Hopkins

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