de Souto et al. BMC Bioinformatics (2015) 16:64 DOI 10.1186/s12859-015-0494-3 RESEARCH ARTICLE Open Access

Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks

Sin, Yi Lim
Mohd Saberi, Mohamad
Lian, En Chai
Safaai, Deris
Weng, Howe Chan
Sigeru, Omatu
Muhammad Farhan, Sjaugi
Muhammad Mahfuz, Zainuddin
Gopinathaan, Rajamohan
Zuwairie, Ibrahim
Zulkifli, Md. Yusof

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Investigation of the effects of imputation methods for gene regulatory networks modelling using dynamic bayesian networks

Lim, Sin Yi
Mohamad, Mohd. Saberi
Chai, Lian En
Deris, Safaai
Chan, Weng Howe
Omatu, Sigeru
Corchado, Juan Manuel
Sjaugi, Muhammad Farhan
Zainuddin, Muhammad Mahfuz
Rajamohan, Gopinathaan
Ibrahim, Zuwairie
Md. Yusof, Zulkifli

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering.

de Brevern, Alexandre
Hazout, Serge, A.
Malpertuy, Alain

January 2004

12 pages + sup. dataBACKGROUND: Microarray technologies produced large amount of data. The hierarchi...

Impact of missing data imputation methods on gene expression clustering and classification

De Souto, Marcilio
Jaskowiak, Pablo,
Ivan, Costa,

February 2015

International audienceBackground Several missing value imputation methods for gene expression data h...

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

Celton, Magalie
Malpertuy, Alain
Lelandais, Gaëlle
de Brevern, Alexandre

January 2010

BMC Genomics ISI Document Delivery No.: 565GZ Times Cited: 11 Cited Reference Count: 84 Celton, Maga...

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments

Celton, Magalie
Malpertuy, Alain
Lelandais, Gaëlle
de Brevern, Alexandre G.

January 2010

Background: Microarray technologies produced large amount of data. In a previous study, we have show...

Verification of Improving a Clustering Algorithm for Microarray Data with Missing Values

Suyoung Kim

January 2010

Gene expression microarray data often include multiple missing values. Most gene expression analysis...

doi:10.1093/bioinformatics/bti708BIOINFORMATICS ORIGINAL PAPER

Gene Expression
Ida Scheel
Magne Aldrin
Ingrid K. Glad
Ragnhild Sørum
Heidi Lyng
Arnoldo Frigessi

February 2015

The influence of missing value imputation on detection of differentially expressed genes from microa...

Effects of missing value imputation on down-stream analyses in microarray data

OH, sunghee

January 2010

Amongst the high-throughput technologies, DNA microarray experiments provide enormous quantity of ge...

An Evaluation of Machine Learning Algorithms for Missing Values Imputation

Kohbalan, Moorthy
Ali, Mohammed Hasan
Mohd Arfian, Ismail
Chan, Weng Howe
Mohd Saberi, Mohamad
Safaai, Deris

October 2019

In gene expression studies missing values have been a common problem. It has an important consequen...

Missing-values imputation algorithms for microarray gene expression data

Moorthy, Kohbalan
Jaber, Aws Naser
Mohd Arfian, Ismail
Ernawan, Ferda
Mohd Saberi, Mohamad
Safaai, Deris

May 2019

In gene expression studies, missing values are a common problem with important consequences for the ...

Reviewers

Turku Centre
Computer Science
Johannes Tuikkala
From Imputation To Visualization
Johannes Tuikkala
Professor Olli Nevalainen
Docent Tero Aittokallio
Professor Ion Petre
Professor Mauno Vihinen
Professor Pasi Fränti

January 2014

The amount of biological data has grown exponentially in recent decades. Modern biotechnologies, suc...

ORIGINAL RESEARCH Use of biclustering for missing value imputation in gene expression data

K. O. Cheng
N. F. Law
W. C. Siu

January 2016

DNA microarray data always contains missing values. As subsequent analysis such as biclustering can ...

Gene expression imputation techniques for robust post genomic knowledge discovery

Sehgal, Muhammad Shoaib B
Gondal, Iqbal
Dooley, Laurence

January 2008

Microarrays measure expression patterns of thousands of genes at a time, under same or diverse condi...

Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique

Yuanting Yan
Tao Dai
Meili Yang
Xiuquan Du
Yiwen Zhang
Yanping Zhang

October 2018

(1) Background: Gene-expression data usually contain missing values (MVs). Numerous methods focused ...

Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks

Sin, Yi Lim
Mohd Saberi, Mohamad
Lian, En Chai
Safaai, Deris
Weng, Howe Chan
Sigeru, Omatu
Muhammad Farhan, Sjaugi
Muhammad Mahfuz, Zainuddin
Gopinathaan, Rajamohan
Zuwairie, Ibrahim
Zulkifli, Md. Yusof

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Investigation of the effects of imputation methods for gene regulatory networks modelling using dynamic bayesian networks

Lim, Sin Yi
Mohamad, Mohd. Saberi
Chai, Lian En
Deris, Safaai
Chan, Weng Howe
Omatu, Sigeru
Corchado, Juan Manuel
Sjaugi, Muhammad Farhan
Zainuddin, Muhammad Mahfuz
Rajamohan, Gopinathaan
Ibrahim, Zuwairie
Md. Yusof, Zulkifli

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering.

de Brevern, Alexandre
Hazout, Serge, A.
Malpertuy, Alain

January 2004

12 pages + sup. dataBACKGROUND: Microarray technologies produced large amount of data. The hierarchi...

Impact of missing data imputation methods on gene expression clustering and classification

De Souto, Marcilio
Jaskowiak, Pablo,
Ivan, Costa,

February 2015

International audienceBackground Several missing value imputation methods for gene expression data h...

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

Celton, Magalie
Malpertuy, Alain
Lelandais, Gaëlle
de Brevern, Alexandre

January 2010

BMC Genomics ISI Document Delivery No.: 565GZ Times Cited: 11 Cited Reference Count: 84 Celton, Maga...

Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments

Celton, Magalie
Malpertuy, Alain
Lelandais, Gaëlle
de Brevern, Alexandre G.

January 2010

Background: Microarray technologies produced large amount of data. In a previous study, we have show...

Verification of Improving a Clustering Algorithm for Microarray Data with Missing Values

Suyoung Kim

January 2010

Gene expression microarray data often include multiple missing values. Most gene expression analysis...

doi:10.1093/bioinformatics/bti708BIOINFORMATICS ORIGINAL PAPER

Gene Expression
Ida Scheel
Magne Aldrin
Ingrid K. Glad
Ragnhild Sørum
Heidi Lyng
Arnoldo Frigessi

February 2015

The influence of missing value imputation on detection of differentially expressed genes from microa...

Effects of missing value imputation on down-stream analyses in microarray data

OH, sunghee

January 2010

Amongst the high-throughput technologies, DNA microarray experiments provide enormous quantity of ge...

An Evaluation of Machine Learning Algorithms for Missing Values Imputation

Kohbalan, Moorthy
Ali, Mohammed Hasan
Mohd Arfian, Ismail
Chan, Weng Howe
Mohd Saberi, Mohamad
Safaai, Deris

October 2019

In gene expression studies missing values have been a common problem. It has an important consequen...

Missing-values imputation algorithms for microarray gene expression data

Moorthy, Kohbalan
Jaber, Aws Naser
Mohd Arfian, Ismail
Ernawan, Ferda
Mohd Saberi, Mohamad
Safaai, Deris

May 2019

In gene expression studies, missing values are a common problem with important consequences for the ...

Reviewers

Turku Centre
Computer Science
Johannes Tuikkala
From Imputation To Visualization
Johannes Tuikkala
Professor Olli Nevalainen
Docent Tero Aittokallio
Professor Ion Petre
Professor Mauno Vihinen
Professor Pasi Fränti

January 2014

The amount of biological data has grown exponentially in recent decades. Modern biotechnologies, suc...

ORIGINAL RESEARCH Use of biclustering for missing value imputation in gene expression data

K. O. Cheng
N. F. Law
W. C. Siu

January 2016

DNA microarray data always contains missing values. As subsequent analysis such as biclustering can ...

Gene expression imputation techniques for robust post genomic knowledge discovery

Sehgal, Muhammad Shoaib B
Gondal, Iqbal
Dooley, Laurence

January 2008

Microarrays measure expression patterns of thousands of genes at a time, under same or diverse condi...

Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique

Yuanting Yan
Tao Dai
Meili Yang
Xiuquan Du
Yiwen Zhang
Yanping Zhang

October 2018

(1) Background: Gene-expression data usually contain missing values (MVs). Numerous methods focused ...

Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks

Sin, Yi Lim
Mohd Saberi, Mohamad
Lian, En Chai
Safaai, Deris
Weng, Howe Chan
Sigeru, Omatu
Muhammad Farhan, Sjaugi
Muhammad Mahfuz, Zainuddin
Gopinathaan, Rajamohan
Zuwairie, Ibrahim
Zulkifli, Md. Yusof

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Investigation of the effects of imputation methods for gene regulatory networks modelling using dynamic bayesian networks

Lim, Sin Yi
Mohamad, Mohd. Saberi
Chai, Lian En
Deris, Safaai
Chan, Weng Howe
Omatu, Sigeru
Corchado, Juan Manuel
Sjaugi, Muhammad Farhan
Zainuddin, Muhammad Mahfuz
Rajamohan, Gopinathaan
Ibrahim, Zuwairie
Md. Yusof, Zulkifli

January 2016

DNA microarray technology plays an important role in advancing the analysis of gene expression and g...

Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering.

de Brevern, Alexandre
Hazout, Serge, A.
Malpertuy, Alain

January 2004

12 pages + sup. dataBACKGROUND: Microarray technologies produced large amount of data. The hierarchi...

de Souto et al. BMC Bioinformatics (2015) 16:64 DOI 10.1186/s12859-015-0494-3 RESEARCH ARTICLE Open Access

Abstract

Extracted data

de Souto et al. BMC Bioinformatics (2015) 16:64 DOI 10.1186/s12859-015-0494-3 RESEARCH ARTICLE Open Access

Abstract

Extracted data

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