IMDE: An easy-to-use web server for missing data estimation

Chia Chun Chiu, Wei Sheng Wu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Missing value imputation is crucial for the microarray data analysis since the missing values would degrade the performance of the downstream analysis, e.g. differentially expressed genes identification, gene clustering or classification. Although many missing value imputation algorithms has been proposed, convenient software tools are still lacking. The existing tools are not easy to use and cannot tell users how to choose the optimal imputation algorithm for their dataset. In this paper, we present an easy-to-use web server named IMDE (Impute Missing Data Easily). IMDE has two unique features. First, it provides much more missing value imputation algorithms than any existing tool. Second, it can suggest the optimal imputation algorithm for users' dataset after doing the performance evaluation.We used four different datasets to show that different optimal algorithms may be chosen for different datasets and for different selection schemes. We expect that IMDE will be a very useful server for solving the missing value problem in the microarray data. IMDE is freely available at http://cosbi.ee.ncku.edu.tw/IMDE/.

原文English
主出版物標題11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
發行者IEEE Computer Society
頁面511-514
頁數4
ISBN(列印)9781479928378
DOIs
出版狀態Published - 2014
事件11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 - Taichung, Taiwan
持續時間: 2014 6月 182014 6月 20

出版系列

名字IEEE International Conference on Control and Automation, ICCA
ISSN(列印)1948-3449
ISSN(電子)1948-3457

Other

Other11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
國家/地區Taiwan
城市Taichung
期間14-06-1814-06-20

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用
  • 控制與系統工程
  • 電氣與電子工程
  • 工業與製造工程

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