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

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: Tan Ah Chik @ Mohamad, Mohd. Saberi, Moorthy, Kohbalan, Deris, Safaai, Ibrahim, Zuwairie
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/46052/
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Institution: Universiti Teknologi Malaysia
id my.utm.46052
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spelling my.utm.460522017-08-30T00:52:44Z http://eprints.utm.my/id/eprint/46052/ Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm Tan Ah Chik @ Mohamad, Mohd. Saberi Moorthy, Kohbalan Deris, Safaai Ibrahim, Zuwairie 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. 2011 Conference or Workshop Item PeerReviewed 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).
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
description 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.
format Conference or Workshop Item
author Tan Ah Chik @ Mohamad, Mohd. Saberi
Moorthy, Kohbalan
Deris, Safaai
Ibrahim, Zuwairie
spellingShingle Tan Ah Chik @ Mohamad, Mohd. Saberi
Moorthy, Kohbalan
Deris, Safaai
Ibrahim, Zuwairie
Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
author_facet Tan Ah Chik @ Mohamad, Mohd. Saberi
Moorthy, Kohbalan
Deris, Safaai
Ibrahim, Zuwairie
author_sort Tan Ah Chik @ Mohamad, Mohd. Saberi
title Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
title_short Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
title_full Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
title_fullStr Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
title_full_unstemmed Multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
title_sort multivariate analysis of gene expression data and missing value imputation based on llsimpute algorithm
publishDate 2011
url http://eprints.utm.my/id/eprint/46052/
_version_ 1643651921695735808

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