An algebra-based method for inferring gene regulatory networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1752-0509

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: An algebra-based method for inferring gene regulatory networks ; volume:8 ; number:1 ; day:26 ; month:3 ; year:2014 ; pages:1-16 ; date:12.2014
BMC systems biology ; 8, Heft 1 (26.3.2014), 1-16, 12.2014

Creator: Vera-Licona, Paola

Contributor: Jarrah, Abdul
Garcia-Puente, Luis David
McGee, John
Laubenbacher, Reinhard
SpringerLink (Online service)

DOI: 10.1186/1752-0509-8-37

URN: urn:nbn:de:1111-201607304506

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Vera-Licona, Paola
Jarrah, Abdul
Garcia-Puente, Luis David
McGee, John
Laubenbacher, Reinhard
SpringerLink (Online service)

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An algebra-based method for inferring gene regulatory networks

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Other Objects (12)

Inferring gene regulatory networks by thermodynamic modeling

Inferring transcription factor collaborations in gene regulatory networks

Inferring the conservative causal core of gene regulatory networks

Inferring the role of transcription factors in regulatory networks

Inferring Gene Regulatory Networks from a Population of Yeast Segregants

Inferring gene regulatory networks from asynchronous microarray data with AIRnet

Inferring gene regulatory networks from classified microarray data: Initial results

Inferring interaction type in gene regulatory networks using co-expression data

Inferring cell-type-specific causal gene regulatory networks during human neurogenesis

Inferring gene regulatory networks from single-cell data: a mechanistic approach

Inferring microRNA and transcription factor regulatory networks in heterogeneous data

Boolean networks using the chi-square test for inferring large-scale gene regulatory networks

Inferring gene regulatory networks by thermodynamic modeling

Inferring transcription factor collaborations in gene regulatory networks

Inferring the conservative causal core of gene regulatory networks

Inferring the role of transcription factors in regulatory networks

Inferring Gene Regulatory Networks from a Population of Yeast Segregants

Inferring gene regulatory networks from asynchronous microarray data with AIRnet

Inferring gene regulatory networks from classified microarray data: Initial results

Inferring interaction type in gene regulatory networks using co-expression data

Inferring cell-type-specific causal gene regulatory networks during human neurogenesis

Inferring gene regulatory networks from single-cell data: a mechanistic approach

Inferring microRNA and transcription factor regulatory networks in heterogeneous data

Boolean networks using the chi-square test for inferring large-scale gene regulatory networks

Inferring gene regulatory networks by thermodynamic modeling

Inferring transcription factor collaborations in gene regulatory networks

Inferring the conservative causal core of gene regulatory networks

Inferring the role of transcription factors in regulatory networks

Inferring Gene Regulatory Networks from a Population of Yeast Segregants

Inferring gene regulatory networks from asynchronous microarray data with AIRnet

Inferring gene regulatory networks from classified microarray data: Initial results

Inferring interaction type in gene regulatory networks using co-expression data

Inferring cell-type-specific causal gene regulatory networks during human neurogenesis

Inferring gene regulatory networks from single-cell data: a mechanistic approach

Inferring microRNA and transcription factor regulatory networks in heterogeneous data

Boolean networks using the chi-square test for inferring large-scale gene regulatory networks

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