• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Science
      • Department of Molecular Biology and Genetics
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Science
      • Department of Molecular Biology and Genetics
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Short time series microarray data analysis and biological annotation

      Thumbnail
      View / Download
      610.7 Kb
      Author
      Sökmen, Z.
      Atalay, V.
      Çetin-Atalay, Rengül
      Date
      2008
      Source Title
      Proceedings of the IEEE 16th Signal Processing and Communications Applications Conference, SIU 2008
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
      153
      views
      114
      downloads
      Abstract
      Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time series microarray gene data by applying unsupervised methods and automatically perform biological annotation of those clusters. In the first step of the study, short time series microarray expression data is clustered according to similar expression profiles. After that, several biological data sources are integrated to get information related with the genes in one of those clusters and new sub-clusters are created by using this unified information. As a last step, biological annotation of gene sub-clusters is performed by using information related with those sub-clusters.
      Keywords
      Biological datums
      Biological functions
      Expression datums
      Expression profiles
      Gene clusters
      Gene lists
      Microarray data analyses
      Microarray genes
      Short time series
      Unsupervised methods
      Optimal control systems
      Signal processing
      Time series analysis
      Permalink
      http://hdl.handle.net/11693/26834
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2008.4632669
      Collections
      • Department of Molecular Biology and Genetics 426
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy