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Gene expression data preprocessing
Author(s) -
Javier Herrero,
Ramón DíazUriarte,
Joaquı́n Dopazo
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg040
Subject(s) - preprocessor , replicate , standardization , computer science , data pre processing , missing data , data mining , data set , set (abstract data type) , microarray analysis techniques , expression (computer science) , data management , artificial intelligence , gene expression , gene , biology , machine learning , statistics , programming language , mathematics , operating system , biochemistry
We present an interactive web tool for preprocessing microarray gene expression data. It analyses the data, suggests the most appropriate transformations and proceeds with them after user agreement. The normal preprocessing steps include scale transformations, management of missing values, replicate handling, flat pattern filtering and pattern standardization and they are required before performing any pattern analysis. The processed data set can be sent to other pattern analysis tools.

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