TY - GEN
T1 - IMDE
T2 - 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
AU - Chiu, Chia Chun
AU - Wu, Wei Sheng
PY - 2014
Y1 - 2014
N2 - 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/.
AB - 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/.
UR - http://www.scopus.com/inward/record.url?scp=84906535965&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906535965&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2014.6870971
DO - 10.1109/ICCA.2014.6870971
M3 - Conference contribution
AN - SCOPUS:84906535965
SN - 9781479928378
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 511
EP - 514
BT - 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
PB - IEEE Computer Society
Y2 - 18 June 2014 through 20 June 2014
ER -