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

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