Blar i Institutt for samfunnsmedisin og sykepleie på tidsskrift "BMC Bioinformatics"
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Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks
(Journal article; Peer reviewed, 2019)Background For more than a decade, gene expression data sets have been used as basis for the construction of co-expression networks used in systems biology investigations, leading to many important discoveries in a wide ... -
Automated generation of genome-scale metabolic draft reconstructions based on KEGG
(Journal article; Peer reviewed, 2018)Background Constraint-based modeling is a widely used and powerful methodology to assess the metabolic phenotypes and capabilities of an organism. The starting point and cornerstone of all such modeling is a genome-scale ... -
csdR, an R package for differential co-expression analysis
(Peer reviewed; Journal article, 2022)Background Differential co-expression network analysis has become an important tool to gain understanding of biological phenotypes and diseases. The CSD algorithm is a method to generate differential co-expression networks ... -
Genome-scale metabolic models reveal determinants of phenotypic differences in non-Saccharomyces yeasts
(Peer reviewed; Journal article, 2023)Background - Use of alternative non-Saccharomyces yeasts in wine and beer brewing has gained more attention the recent years. This is both due to the desire to obtain a wider variety of flavours in the product and to reduce ... -
ModelExplorer - software for visual inspection and inconsistency correction of genome-scale metabolic reconstructions
(Journal article; Peer reviewed, 2019)Background Genome-scale metabolic network reconstructions are low level chemical representations of biological organisms. These models allow the system-level investigation of metabolic phenotypes using a variety of ... -
wTO: An R package for computing weighted topological overlap and a consensus network with integrated visualization tool
(Journal article; Peer reviewed, 2018)Background Network analyses, such as of gene co-expression networks, metabolic networks and ecological networks have become a central approach for the systems-level study of biological data. Several software packages exist ...