Predicting Cell Cycle Genes from E-MAP Profiles by Integrating Multiple Types of Data

التفاصيل البيبلوغرافية
العنوان: Predicting Cell Cycle Genes from E-MAP Profiles by Integrating Multiple Types of Data
المؤلفون: Wang Lin, Hou Lin, Minping Qian, Fangting Li, Minghua Deng
المساهمون: Center for Theoretical Biology, Peking University, LMAM, School of Mathematical Sciences, School of Physics, Center for Statistical Science
المصدر: 知网
بيانات النشر: 第四届最优化与系统生物学国际研讨会
سنة النشر: 2010
المجموعة: Peking University Institutional Repository (PKU IR) / 北京大学机构知识库
مصطلحات موضوعية: E-MAP, Microarray, Chip-Chip, Protein phosphorylation, Integrate, Cell Cycle
الوصف: Interactions between genes and proteins can be revealed by multiple experimental platforms. The derived interaction networks can be utilized to discover novel genes involved in specific biological process. E-MAP is an experimental platform to measure genetic interactions in a genome-wide scale, whic. ; Asia-Pacific Operations Research Center,Academy of Mathematics and Systems Science,Chinese Academy of Sciences ; 12
نوع الوثيقة: conference object
اللغة: English
العلاقة: 第四届最优化与系统生物学国际研讨会.中国江苏苏州.; 1409448; http://hdl.handle.net/20.500.11897/444467Test
الإتاحة: https://doi.org/20.500.11897/444467Test
https://hdl.handle.net/20.500.11897/444467Test
رقم الانضمام: edsbas.59A4EB85
قاعدة البيانات: BASE