Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database

Ranadip Pal, Noah Berlow, Saad Haider

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The cancer cell line encyclopedia (CCLE), a joint academic and industry collaboration, provides a vast resource for analyzing the effectiveness of anti-cancer drugs across numerous cell lines. The predictive modeling of tumor sensitivity to targeted drugs has primarily focused on generating functions that map gene expressions and genetic mutation profiles to targeted drug sensitivity. The prediction accuracies of genomic signature based models are often limited as reported in initial analysis (Barretina et al.) of CCLE database. In this article, we illustrate that incorporating the target inhibition profile of the anticancer drugs and the functional behavior of related drugs will enable us to achieve much higher prediction accuracy.

Original languageEnglish
Title of host publicationProceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
Pages9-12
Number of pages4
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 - Washington, DC, United States
Duration: Dec 2 2012Dec 4 2012

Publication series

NameProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)2150-3001
ISSN (Electronic)2150-301X

Conference

Conference2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
CountryUnited States
CityWashington, DC
Period12/2/1212/4/12

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Pal, R., Berlow, N., & Haider, S. (2012). Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database. In Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 (pp. 9-12). [6507714] (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). https://doi.org/10.1109/GENSIPS.2012.6507714