Qualitative evaluation of the topic-describing words that are enriched within the generated clusters (as derived by class-based TF-IDF) shows that they are interpretable and refer to existing assays (Table ). In summary, these results show that although there is room for improvement our clustering method gives an accurate and interpretable grouping of the data. Adjusted Mutual Information, measure for agreement of assigned and predicted labels 2.