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Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm

Tan Ah Chik @ Mohamad, Mohd. Saberi and Moorthy, Kohbalan and Deris, Safaai and Ibrahim, Zuwairie (2011) Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm. In: Sixth International Conference On Innovative Computing, Information And Control (Icicic 2011).

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:algorithm
Divisions:Electrical Engineering
ID Code:46052
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 03:01
Last Modified:30 Aug 2017 00:52

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