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Pathway network inference from gene expression data

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Pathway network inference from gene expression data

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Ponzoni, I.; Nueda, MJ.; Tarazona Campos, S.; Gotz, S.; Montaner, D.; Dussaut, JS.; Dopazo, J.... (2014). Pathway network inference from gene expression data. BMC Systems Biology. 8(2):1-17. doi:10.1186/1752-0509-8-S2-S7

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63850

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Title: Pathway network inference from gene expression data
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems ...[+]
Subjects: Alzheimers-Disease , Saccharomyces-Cervisiae , S-phase , Microarray experiments , Ubiquitin conjugation , Functional assessment , Sister chromatids , DNA-replication , Genomic data , R package
Copyrigths: Reconocimiento (by)
Source:
BMC Systems Biology. (issn: 1752-0509 )
DOI: 10.1186/1752-0509-8-S2-S7
Publisher:
BioMed Central
Publisher version: http://dx.doi.org/10.1186/1752-0509-8-S2-S7
Project ID: info:eu-repo/grantAgreement/EC/FP7/306000
Description: This article has been published as part of BMC Systems Biology Volume 8 Supplement 2, 2014: Selected articles from the High-Throughput Omics and Data Integration Workshop. The full contents of the supplement are available online at http://www.biomedcentral.com/bmcsystbiol/supplements/8/S2.
Type: Artículo

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