DrugClustPAMEnrichment: DrugClustPAMEnrichment
In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Function Implementing DrugClust with PAM algorithm and Enrichment

1	DrugClustPAMEnrichment(num_clusters, features)

`num_clusters`	number of clusters desired
`features`	matrix of features

number of pathways for various clusters

1 2	#features is the features matrix #resultSeeds<-DrugClustPAMEnrichment(4,features)

DrugClust documentation built on May 30, 2017, 2:30 a.m.

DrugClust index

largeVis: High-Quality Visualizations of Large, High-Dimensional Datasets

polyclip: Polygon Clipping

rbtt: Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error for Non-Negative, Zero-Inflated Data

BALCONY: Better ALignment CONsensus analYsis

dendroextras: Extra Functions to Cut, Label and Colour Dendrogram Clusters

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