Dimension reduction with gene expression data using targeted variable importance measurement
نویسندگان
چکیده
منابع مشابه
Dimension reduction for classification with gene expression microarray data.
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three dimension reduction techniques, namely partial least squares (PLS), sliced inverse regression (SIR) an...
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Methods: Here, we introduce an enhancement concept that joins two dimension reduction methods of Partial Least Squares (PLS) and Minimum Average Variance Estimation (MAVE), which is called as an enhanced dimension reduction method. The PLS method generates the new transformed genes that include compressed information. Then, the MAVE method clusters samples in the same class and separate samples...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-312