Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bioconductor Affy Batch and exprSet. This MADE4 R package extends the advantages of ad...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Online Access: | http://eprints.utm.my/id/eprint/46052/ |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | Microarray ade4 or known as MADE4 is a multivariate software analysis package for microarray gene expression data. This software package is capable of accepting wide variety of gene expression data formats such as Bioconductor Affy Batch and exprSet. This MADE4 R package extends the advantages of ade4 package in multivariate statistical and graphical functions for the use in the microarray data application. Moreover, MADE4 provides new graphical and visualization tools that assist in the interpretation of multivariate analysis of microarray data. Besides that, LLSimpute algorithm has been incorporated to assist in handling of datasets with missing values and this has eased the application for the users to analysis on gene expression data that contain missing values. |
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