دورية أكاديمية

Use of gene networks for identifying and validating drug targets

التفاصيل البيبلوغرافية
العنوان: Use of gene networks for identifying and validating drug targets
المؤلفون: Seiya Imoto, Christopher J. Savoie, Sachiyo Aburatani, Sunyong Kim, Kousuke Tashiro, Satoru Kuhara
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://bonsai.ims.u-tokyo.ac.jp/~imoto/imoto_jbcb2003_drug.pdfTest.
سنة النشر: 2003
المجموعة: CiteSeerX
مصطلحات موضوعية: Drug targets, gene network, microarray, Bayesian network. ∗ These authors contributed equally to this work. 459
الوصف: We propose a new method for identifying and validating drug targets by using gene networks, which are estimated from cDNA microarray gene expression profile data. We created novel gene disruption and drug response microarray gene expression profile data libraries for the purpose of drug target elucidation. We use two types of microarray gene expression profile data for estimating gene networks and then identifying drug targets. The estimated gene networks play an essential role in understanding drug response data and this information is unattainable from clustering methods, which are the standard for gene expression analysis. In the construction of gene networks, we use the Bayesian network model. We use an actual example from analysis of the Saccharomyces cerevisiae gene expression profile data to express a concrete strategy for the application of gene network information to drug discovery.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.5792Test; http://bonsai.ims.u-tokyo.ac.jp/~imoto/imoto_jbcb2003_drug.pdfTest
الإتاحة: http://bonsai.ims.u-tokyo.ac.jp/~imoto/imoto_jbcb2003_drug.pdfTest
حقوق: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.94071D92
قاعدة البيانات: BASE