Description Usage Arguments Value

Apply a clustering algorithm to a given time course.

1 2 3 4 5 6 7 | ```
reconstruct(
readouts,
target_communities,
method = "kmedoids",
sim = MultIS::get_similarity_matrix(readouts = readouts, upper = TRUE),
cluster_obj = FALSE
)
``` |

`readouts` |
The time course for which to find clusters. |

`target_communities` |
The number of clusters to cluster for. |

`method` |
Either "kmedoids", "kmeans" or any string permitted as a method for stats::hclust. |

`sim` |
A similarity matrix used with all methods except "kmeans". |

`cluster_obj` |
If TRUE, a clusterObject with the readouts, similarity and clustering is returned. |

A matrix with two columns: "Clone" and "IS" or if cluster_obj = TRUE a cluster object, which can be used to plot the clustering.

MultIS documentation built on Aug. 6, 2021, 5:07 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.