Characterizing Cancer Drug Response and Biological Correlates: A Geometric Network Approach

Abstract excerpt

In the present work, we consider a geometric network approach to study common biological features of anticancer drug response. We use for this purpose the panel of 60 human cell lines (NCI-60) provided by the National Cancer Institute. Our study suggests that utilization of mathematical tools for network-based analysis can provide novel insights into drug response and cancer biology. We adopted a discrete notion o...

Topics

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• Antineoplastic Agents
• Bayes Theorem
• Bioinformatics and Genomic Networks
• Cell Line, Tumor
• Computational Drug Discovery Methods
• Drug Discovery
• Drug Screening Assays, Antitumor
• Gene Expression Profiling

Identifiers and source

Literature Corpus work

e580f132-ff74-50b2-a02c-945d43a0d78f

DOI

10.1101/222943