New manuscript: Classification of ovarian cancer cell lines
Updated: Jul 20
Another hot-off-the-press story deposited on Biorxiv. In this study, Dr Beth Barnes, a post-doctoral research associate in the team applied her bioinformatics and machine learning skills to apply non-negative matrix factorisation (NMF) to the transcriptional profiles of 45 commonly used ovarian cancer cell lines and shows that this exquisitely clusters them into five distinct classes, representative of the five main subtypes of EOC.
This analysis will facilitate selection of appropriate cell lines for studying the different subtypes of ovarian cancer and provides a methodology for future classification of novel cell lines, ex vivo cultures and organoids.