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Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Prediction of Clinical Drug Response Based on Differential Gene Expression Levels

Authors : Zhenyu Yue, Yan Chen, Junfeng Xia

Published in: Intelligent Computing Theories and Methodologies

Publisher: Springer International Publishing

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Abstract

We demonstrated a new method for the prediction of in vivo drug sensitivity using before-treatment baseline tumor gene expression data. First, we fitted ridge regression models for differential gene expression against drug sensitivity in a large panel of cell lines. Following data homogenization and filtering, drug response was predicted based on baseline expression levels from primary tumor biopsies. We validated this approach on two clinical trial datasets, and obtained predictions better than those from whole-genome gene expression. The findings may point out new directions for the prediction of anticancer drug sensitivity and the development of personalized medicine.

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Metadata
Title
Prediction of Clinical Drug Response Based on Differential Gene Expression Levels
Authors
Zhenyu Yue
Yan Chen
Junfeng Xia
Copyright Year
2015
Book
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_48

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