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