186 – Contributed Oral Poster Presentations: Biometrics Section
Statistical Analysis of Glycoprotein Data in Breast Cancer Cell Lines
Spencer Bowen
SFSU
Alexandra Piryatinska
San Francisco State University
Leslie Timpe
San Francisco State University
Glycoproteins found in the cell membrane have previously been shown to be useful as biomarkers in the diagnosis and treatment of cancer. Our goal is to identify glycoproteins which may serve as biomarkers for several subtypes of breast cancer. Through mass spectrometry, we have measured a large number of glycoproteins in multiple cancer cell lines. We have obtained biomarkers by variable selection through the use of methods including LASSO Logistic Regression, Random Forest. Results will be shown for the following breast cancer cell classifications: benign or malignant, basal or luminal, triple negative, and claudin-low.