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dc.contributor.authorOzgul, O.F.
dc.contributor.authorBardak, Batuhan
dc.contributor.authorTan, Mehmet
dc.identifier.citationÖzgül, O. F., Bardak, B., and Tan, M. (2018, May). Predicting drug activity by image encoded gene expression profiles. In 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.en_US
dc.description26th IEEE Signal Processing and Communications Applications Conference (2018 : Izmir; Turkey)
dc.description.abstractDeveloping personalized cancer treatment procedures requires a prior knowledge on the effects of different drugs on cancer cell lines. While obtaining this information in vitro is a tedious task, the emergence of numerous large-scale datasets facilitates the usage of machine learning algorithms for this purpose. Conventional methods make an effort to reveal the mapping function between a cell line's identifying features called gene expressions and a certain drug's effect on it. In this work, we move away from this philosophy and represent cell lines as images in which inter-feature relations are preserved. Once these images are obtained, the regression problem is solved with the help of a convolutional neural network, a neural network architecture proven to work well with image inputs. A benchmarking with the other models in the literature exhibits the fruitfulness of our novel strategy. © 2018 IEEE.en_US
dc.description.sponsorshipAselsan,et al.,Huawei,IEEE Signal Processing Society,IEEE Turkey Section,Netas
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.subjectPharmaceutical Preparationsen_US
dc.subjectsensitivity predictionen_US
dc.titlePredicting drug activity by image encoded gene expression profilesen_US
dc.title.alternativeGen ifade profillerinin görüntü ile temsili ve ilaç aktivite tahminitr_TR
dc.contributor.departmentTOBB ETU, Faculty of Engineering, Department of Computer Engineeringen_US
dc.contributor.departmentTOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.contributor.tobbetuauthorTan, Mehmet
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıtr_TR

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