Academic Bibliography

Mark

journalArticle
A1
open access

Module network inference from a cancer gene expression data set identifies microRNA regulated modules

Eric Bonnet (UGent) , Marianthi Tatari, Anagha Madhusudan Joshi (UGent) , Tom Michoel (UGent) , Kathleen Marchal (UGent) , Geert Berx (UGent) and Yves Van de Peer (UGent)

(2010) PLOS ONE. 5(4).

Mark

journalArticle
A1
open access

Characterizing regulatory path motifs in integrated networks using perturbational data

Anagha Madhusudan Joshi (UGent) , Thomas Van Parys (UGent) , Yves Van de Peer (UGent) and Tom Michoel (UGent)

(2010) GENOME BIOLOGY. 11(3).

Mark

Module networks revisited: computational assessment and prioritization of model predictions

Anagha Madhusudan Joshi (UGent) , Riet De Smet (UGent) , Kathleen Marchal (UGent) , Yves Van de Peer (UGent) and Tom Michoel (UGent)

(2009) BIOINFORMATICS. 25(4). p.490-496

Mark

Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development

Vanessa Vermeirssen (UGent) , Anagha Madhusudan Joshi (UGent) , Tom Michoel (UGent) , Eric Bonnet (UGent) , Tine Casneuf and Yves Van de Peer (UGent)

(2009) MOLECULAR BIOSYSTEMS. 5(12). p.1817-1830

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dissertation

Computational analysis of regulatory networks using genome-scale data

Anagha Madhusudan Joshi (UGent)

(2009)

Mark

Reverse-engineering transcriptional modules from gene expression data

Tom Michoel (UGent) , Riet De Smet (UGent) , Anagha Madhusudan Joshi (UGent) , Kathleen Marchal (UGent) and Yves Van de Peer (UGent)

(2009) Annals of the New York Academy of Sciences. 1158. p.36-43

Mark

journalArticle
A1
open access

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks

Tom Michoel (UGent) , Riet De Smet (UGent) , Anagha Madhusudan Joshi (UGent) , Yves Van de Peer (UGent) and Kathleen Marchal (UGent)

(2009) BMC Systems Biology. 3(49). p.1-13

Mark

Analysis of a Gibbs sampler method for model-based clustering of gene expression data

Anagha Madhusudan Joshi (UGent) , Yves Van de Peer (UGent) and Tom Michoel (UGent)

(2008) BIOINFORMATICS. 24(2). p.176-183

Mark

journalArticle
A1
open access

Validating module network learning algorithms using simulated data

Tom Michoel (UGent) , Steven Maere (UGent) , Eric Bonnet (UGent) , Anagha Madhusudan Joshi (UGent) , Yvan Saeys (UGent) , Tim Van den Bulcke, Koenraad Van Leemput, Piet Van Remortel, Martin Kuiper (UGent) , Kathleen Marchal (UGent) , et al.

(2007) BMC BIOINFORMATICS. 8(suppl. 2).

Academic Bibliography

Module network inference from a cancer gene expression data set identifies microRNA regulated modules

Characterizing regulatory path motifs in integrated networks using perturbational data

Module networks revisited: computational assessment and prioritization of model predictions

Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development

Computational analysis of regulatory networks using genome-scale data

Reverse-engineering transcriptional modules from gene expression data

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks

Analysis of a Gibbs sampler method for model-based clustering of gene expression data

Validating module network learning algorithms using simulated data

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