Extracting expression modules from perturbational gene expression compendia

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1752-0509

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Extracting expression modules from perturbational gene expression compendia ; volume:2 ; number:1 ; day:10 ; month:4 ; year:2008 ; pages:1-16 ; date:12.2008
BMC systems biology ; 2, Heft 1 (10.4.2008), 1-16, 12.2008

Creator: Maere, Steven

Contributor: Van Dijck, Patrick
Kuiper, Martin
SpringerLink (Online service)

DOI: 10.1186/1752-0509-2-33

URN: urn:nbn:de:1111-2016072951738

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:53 AM CEST

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Maere, Steven
Van Dijck, Patrick
Kuiper, Martin
SpringerLink (Online service)

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Extracting expression modules from perturbational gene expression compendia

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Other Objects (12)

Extracting regulatory modules from gene expression data by sequential pattern mining

EDISA: extracting biclusters from multiple time-series of gene expression profiles

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EDISA: extracting biclusters from multiple time-series of gene expression profiles

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Mining kidney toxicogenomic data by using gene co-expression modules

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Potential role of chimeric genes in pathway-related gene co-expression modules

Using local gene expression similarities to discover regulatory binding site modules

Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes

Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression

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EDISA: extracting biclusters from multiple time-series of gene expression profiles

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Mining kidney toxicogenomic data by using gene co-expression modules

Inferring the relation between transcriptional and posttranscriptional regulation from expression compendia

Potential role of chimeric genes in pathway-related gene co-expression modules

Using local gene expression similarities to discover regulatory binding site modules

Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes

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EDISA: extracting biclusters from multiple time-series of gene expression profiles

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Inferring the relation between transcriptional and posttranscriptional regulation from expression compendia

Potential role of chimeric genes in pathway-related gene co-expression modules

Using local gene expression similarities to discover regulatory binding site modules

Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes

Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression

Uncovering co-expression gene network modules regulating fruit acidity in diverse apples

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