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» Linear Modeling of Genetic Networks from Experimental Data
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BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
BMCBI
2007
155views more  BMCBI 2007»
13 years 7 months ago
Current approaches to gene regulatory network modelling
Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network part...
Thomas Schlitt, Alvis Brazma
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Identifying differentially regulated subnetworks from phosphoproteomic data
Background: Various high throughput methods are available for detecting regulations at the level of transcription, translation or posttranslation (e.g. phosphorylation). Integrati...
Martin Klammer, Klaus Godl, Andreas Tebbe, Christo...
BMCBI
2010
167views more  BMCBI 2010»
13 years 7 months ago
BisoGenet: a new tool for gene network building, visualization and analysis
Background: The increasing availability and diversity of omics data in the post-genomic era offers new perspectives in most areas of biomedical research. Graph-based biological ne...
Alexander Martin, Maria Elena Ochagavia, Laya C. R...
RECOMB
2003
Springer
14 years 7 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson