<p>A) Network edges were compared to a predicted transcription factor – target database. The number of transcriptome network edges for each virus that was also present in the database (red) was compared with the number of matching edges in 1000 random networks (gray) to estimate the number of matching edges expected from chance. B) Relationships between genes targeted in a large siRNA-targeting study <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0069374#pone.0069374-Hurley1" target="_blank">[19]</a> and the downstream affected genes were compared to relationships predicted from our network inference approach. Results show the number of genes that exhibited statistically significant overlap between their network neigh...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
<p>The correlations were assessed for 13 different networks (derived from 13 gene expression microar...
Background For more than a decade, gene expression data sets have been used as basis for the constru...
Paper on arXiv (arXiv:1310.8341), currently in review with Scientific Reports (as of 29 May 2015).Ge...
BACKGROUND: Reverse-engineering gene networks from expression profiles is a difficult problem for wh...
Although many methods have been developed for inference of biological networks, the validation of th...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
Figure S4. Variable numbers of edges (and true positives) were detected for each method from the fou...
In this thesis we present methods for applying techniques from complex net-work theory to analyze an...
The first decade of GenomeWide Association Studies (GWAS) has uncovered a wealth of disease-associat...
<p>The networks represent the interaction between genes that were predicted to have SNVs' effect on ...
<p>We computed the common edges overlapping among MIKANA network models reconstructed from a siRNA d...
Edges overlap across networks inferred using multitask learning for B. subtilis (prior weight of 1.0...
BACKGROUND: Sparse Gaussian graphical models are popular for inferring biological networks, such as ...
When inferring networks from high-throughput genomic data, one of the main challenges is the subsequ...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
<p>The correlations were assessed for 13 different networks (derived from 13 gene expression microar...
Background For more than a decade, gene expression data sets have been used as basis for the constru...
Paper on arXiv (arXiv:1310.8341), currently in review with Scientific Reports (as of 29 May 2015).Ge...
BACKGROUND: Reverse-engineering gene networks from expression profiles is a difficult problem for wh...
Although many methods have been developed for inference of biological networks, the validation of th...
<p><b>A.</b> Comparison based on fold enrichment of true edges in the inferred network. The cartoon ...
Figure S4. Variable numbers of edges (and true positives) were detected for each method from the fou...
In this thesis we present methods for applying techniques from complex net-work theory to analyze an...
The first decade of GenomeWide Association Studies (GWAS) has uncovered a wealth of disease-associat...
<p>The networks represent the interaction between genes that were predicted to have SNVs' effect on ...
<p>We computed the common edges overlapping among MIKANA network models reconstructed from a siRNA d...
Edges overlap across networks inferred using multitask learning for B. subtilis (prior weight of 1.0...
BACKGROUND: Sparse Gaussian graphical models are popular for inferring biological networks, such as ...
When inferring networks from high-throughput genomic data, one of the main challenges is the subsequ...
Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thor...
<p>The correlations were assessed for 13 different networks (derived from 13 gene expression microar...
Background For more than a decade, gene expression data sets have been used as basis for the constru...