<p>The correlations were assessed for 13 different networks (derived from 13 gene expression microarray datasets) for each combination of network reverse-engineering approaches and combined accuracy metrics. Statistical significance is assessed at 5% alpha level adjusted globally for multiple comparisons (over all statistical tests performed for the table). The left portion of the table corresponds to transcription factor connectivity assessed in the gold-standard network, and the right portion corresponds to transcription factor connectivity assessed in the inferred network.</p><p>Number of networks that have significant correlations between transcription factor connectivity and accuracy of reconstructing their sub-networks.</p
The concept of reverse engineering a gene network, i.e., of inferring a genome-wide graph of putativ...
In this thesis we present methods for applying techniques from complex net-work theory to analyze an...
Motivation: Microarray gene expression and cross-linking chromatin immunoprecipitation data contain ...
Motivation: Inferring a gene regulatory network exclusively from microarray expression profiles is a...
<p>Gene connectivity was calculated as the number of genes that had significant covariance with a ge...
BACKGROUND. Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarr...
Graph centralities are commonly used to identify and prioritize disease genes in transcriptional reg...
<p>A) Network edges were compared to a predicted transcription factor – target database. The number ...
<p>The number of connections we identified were compared to those previously described in the litera...
<p>Method: The genes in the “TNFα profile” were used to query to search an interaction database of 2...
International audienceCo-expression networks are essential tools to infer biological associations be...
<p>Z-scores for all four types of degree-assortativity (out-in, in-out, out-out, and in-in) are plot...
Motivation: To improve the understanding of molecular regulation events, various approaches have bee...
Numerous methods have been developed for inferring gene regulatory networks from expression data, ho...
Inferring comprehensive regulatory networks from high-throughput data is one of the foremost challen...
The concept of reverse engineering a gene network, i.e., of inferring a genome-wide graph of putativ...
In this thesis we present methods for applying techniques from complex net-work theory to analyze an...
Motivation: Microarray gene expression and cross-linking chromatin immunoprecipitation data contain ...
Motivation: Inferring a gene regulatory network exclusively from microarray expression profiles is a...
<p>Gene connectivity was calculated as the number of genes that had significant covariance with a ge...
BACKGROUND. Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarr...
Graph centralities are commonly used to identify and prioritize disease genes in transcriptional reg...
<p>A) Network edges were compared to a predicted transcription factor – target database. The number ...
<p>The number of connections we identified were compared to those previously described in the litera...
<p>Method: The genes in the “TNFα profile” were used to query to search an interaction database of 2...
International audienceCo-expression networks are essential tools to infer biological associations be...
<p>Z-scores for all four types of degree-assortativity (out-in, in-out, out-out, and in-in) are plot...
Motivation: To improve the understanding of molecular regulation events, various approaches have bee...
Numerous methods have been developed for inferring gene regulatory networks from expression data, ho...
Inferring comprehensive regulatory networks from high-throughput data is one of the foremost challen...
The concept of reverse engineering a gene network, i.e., of inferring a genome-wide graph of putativ...
In this thesis we present methods for applying techniques from complex net-work theory to analyze an...
Motivation: Microarray gene expression and cross-linking chromatin immunoprecipitation data contain ...