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Title: ChainRank, a chain prioritisation method for contextualisation of biological networks
Author: Tényi, Ákos
Atauri Carulla, Ramón de
Gomez Cabrero, David
Cano Franco, Isaac
Clarke, Kim
Falciani, Francesco
Cascante i Serratosa, Marta
Roca, Josep
Maier, Dieter
Keywords: Bioinformàtica
Biologia computacional
Sistemes biològics
Computational biology
Biological systems
Issue Date: 5-Jan-2016
Publisher: BioMed Central
Abstract: Advances in high throughput technologies and growth of biomedical knowledge have contributed to an exponential increase in associative data. These data can be represented in the form of complex networks of biological associations, which are suitable for systems analyses. However, these networks usually lack both, context specificity in time and space as well as the distinctive borders, which are usually assigned in the classical pathway view of molecular events (e.g. signal transduction). This complexity and high interconnectedness call for automated techniques that can identify smaller targeted subnetworks specific to a given research context (e.g. a disease scenario).
Note: Reproducció del document publicat a:
It is part of: Bmc Bioinformatics, 2016, vol. 17, num. 1, p. 1-17
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ISSN: 1471-2105
Appears in Collections:Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

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