<p>(1) Human gene expression arrays for normal human tissues curated from GEO in Barcode 3.0 (2) The gene expression levels were replaced by their ranks so all arrays share a common scale. (3) For each microarray experiment, we first estimated the pathway expression based on the mean of the expression ranks, then the pathway correlation adjusted for shared genes, and tested the significance of the correlation. (4) We aggregated the experiment-level estimates to get the global pathway correlation and its corresponding significance. (5) We built a pathway coexpression network based on the significant pathway correlations.</p
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
We address the problem of using expression data and prior biological knowledge to identify different...
Identifying perturbed or dysregulated pathways is critical to understanding the biological processes...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
Background: Analysis of gene expression data using genome-wide microarrays is a technique often used...
BACKGROUND: Analysis of gene expression data using genome-wide microarrays is a technique often used...
We address the problem of using expression data and prior biological knowledge to identify different...
International audienceCo-expression networks are essential tools to infer biological associations be...
International audienceCo-expression networks are essential tools to infer biological associations be...
International audienceCo-expression networks are essential tools to infer biological associations be...
Gene co-expression networks (GCN), built using high-throughput gene expression data are fundamental ...
[[abstract]]"Current pathway presentation method to the biologist is static graph. The analysis of ...
<p>Co-expression of pathways and gene ontolgy allows us to determine relationships without relying o...
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
We address the problem of using expression data and prior biological knowledge to identify different...
Identifying perturbed or dysregulated pathways is critical to understanding the biological processes...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
A goal of genomics is to understand the relationships between biological processes. Pathways contrib...
Background: Analysis of gene expression data using genome-wide microarrays is a technique often used...
BACKGROUND: Analysis of gene expression data using genome-wide microarrays is a technique often used...
We address the problem of using expression data and prior biological knowledge to identify different...
International audienceCo-expression networks are essential tools to infer biological associations be...
International audienceCo-expression networks are essential tools to infer biological associations be...
International audienceCo-expression networks are essential tools to infer biological associations be...
Gene co-expression networks (GCN), built using high-throughput gene expression data are fundamental ...
[[abstract]]"Current pathway presentation method to the biologist is static graph. The analysis of ...
<p>Co-expression of pathways and gene ontolgy allows us to determine relationships without relying o...
The 3,600 most varying genes were used for a weighted gene coexpression network construction and sub...
We address the problem of using expression data and prior biological knowledge to identify different...
Identifying perturbed or dysregulated pathways is critical to understanding the biological processes...