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  • Writer's pictureStephen Taylor

New manuscript: Classification of ovarian cancer cell lines

Updated: Jul 20, 2020

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.

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Jun 22, 2022

Dear Prof. Dr. Stephen Taylor,

I’m looking forward to join your lab group as a PHD student.

My name is Yun Bai, working as a dentist in Tianjin government Hospital of China. Three years ago, I graduated from Shanxi Medical University and I did science research in Peking University during my master’s degree. I focused on the xerostomia which effected by estrogen through the SOCE signal channel in menopause. I'm a goal-oriented person, and eager to learn more knowledge about science.

Here are some reasons for why I want to focus on the cancer and join your lab. First of all, I gradually realized I’m more into cancer science. My grandfather suffered from cancer three years ago which leaded…

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