Analyzing drug sensitivity prediction based on dose response curve characteristics

Raziur Rahman; Ranadip Pal

doi:10.1109/BHI.2016.7455854

Analyzing drug sensitivity prediction based on dose response curve characteristics

Raziur Rahman, Ranadip Pal

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Precision medicine for cancer involves design of drug sensitivity prediction models that can predict patient response to various drugs. The drug response is usually represented by a single feature such as Area Under the Curve or IC50 derived from the experimental dose response curve. In this article, we consider the idea that predicting the dose response curve and generating the curve features instead of directly predicting the curve characteristics can increase prediction accuracy. Using the cancer cell line encyclopedia database, we illustrate that predicting dose response curve points to calculate AUC instead of directly predicting AUC can reduce prediction mean square error and increase correlation between experimental and predicted values.

Original language	English
Title of host publication	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	140-143
Number of pages	4
ISBN (Electronic)	9781509024551
DOIs	https://doi.org/10.1109/BHI.2016.7455854
State	Published - Apr 18 2016
Event	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Duration: Feb 24 2016 → Feb 27 2016

Publication series

Name	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

Conference

Conference	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Country/Territory	United States
City	Las Vegas
Period	02/24/16 → 02/27/16

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10.1109/BHI.2016.7455854

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Rahman, R., & Pal, R. (2016). Analyzing drug sensitivity prediction based on dose response curve characteristics. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 (pp. 140-143). Article 7455854 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2016.7455854

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title = "Analyzing drug sensitivity prediction based on dose response curve characteristics",

abstract = "Precision medicine for cancer involves design of drug sensitivity prediction models that can predict patient response to various drugs. The drug response is usually represented by a single feature such as Area Under the Curve or IC50 derived from the experimental dose response curve. In this article, we consider the idea that predicting the dose response curve and generating the curve features instead of directly predicting the curve characteristics can increase prediction accuracy. Using the cancer cell line encyclopedia database, we illustrate that predicting dose response curve points to calculate AUC instead of directly predicting AUC can reduce prediction mean square error and increase correlation between experimental and predicted values.",

author = "Raziur Rahman and Ranadip Pal",

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year = "2016",

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doi = "10.1109/BHI.2016.7455854",

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Rahman, R & Pal, R 2016, Analyzing drug sensitivity prediction based on dose response curve characteristics. in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455854, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 140-143, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 02/24/16. https://doi.org/10.1109/BHI.2016.7455854

Analyzing drug sensitivity prediction based on dose response curve characteristics. / Rahman, Raziur; Pal, Ranadip.
3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 140-143 7455854 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Rahman R, Pal R. Analyzing drug sensitivity prediction based on dose response curve characteristics. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 140-143. 7455854. (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). doi: 10.1109/BHI.2016.7455854

Analyzing drug sensitivity prediction based on dose response curve characteristics

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