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Activity Number: 186
Type: Contributed
Date/Time: Monday, August 4, 2014 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #314137
Title: Statistical Analysis of Glycoprotein Data in Breast Cancer Cell Lines
Author(s): Spencer Bowen*+ and Alexandra Piryatinska and Leslie Timpe
Companies: SFSU and San Francisco State University and San Francisco State University
Keywords: LASSO ; Random Forest
Abstract:

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.


Authors who are presenting talks have a * after their name.

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