Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2025
Title: Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles
Authors: Tan, Mehmet
110845
Keywords: Pharmaceutical Preparations
Neoplasms
Sensitivity prediction
Issue Date: 2014
Publisher: IEEE
Source: Tan, M. (2014, November). Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 156-161). IEEE.
Abstract: Cancer cell lines comprise an important tool to design and evaluate new drug candidates. Prediction of in vivo drug response for cancer cell lines has become attractive due to recently issued large scale drug screen databases. The data provided by these databases can be the key to model drug sensitivity for cancer cell lines. The data provided by these databases is in the form of drug cell line pairs where a natural method for prediction of drug response, therefore is pairwise support vector machines. This paper presents results on the application of pairwise kernels for drug response prediction, where the results are promising compared to some previously well-performed methods on this task. In addition, effect of exploiting microRNA profiles of cancer cell lines together with mRNA profiles is given.
Description: IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM) (2014 : Belfast; United Kingdom)
URI: https://ieeexplore.ieee.org/document/6999145
https://hdl.handle.net/20.500.11851/2025
ISBN: 978-1-4799-5669-2
ISSN: 2156-1125
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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