<p>Upper panel: The <i>E</i>. <i>coli</i> regulatory meta-network used contains 197 TFs, exhibiting a broad out-degree distribution. Lower panel: Distribution of transcription factor occurrences in the input and statistically enriched sets, obtained by aggregating 104 randomly generated binarized profiles in the noiseless limit.</p
<div><p>High-throughput experiments such as microarrays and deep sequencing provide large scale info...
<p>Description of different regulatory networks of different organisms in terms of size, ubiquity an...
High-throughput experiments such as microarrays and deep sequencing provide large scale information ...
<p>Method: The genes in the “TNFα profile” were used to query to search an interaction database of 2...
<p>For each TF, we computed the fraction of binding sites that enhanced rather than blocked transcri...
Background: Expression profiles obtained from multiple perturbation experiments are increasingly use...
Transcriptional regulation is one of the most important means of gene regulation. Uncovering transcr...
Transcription factors from the network based on statistically validated interactions likely dysfunct...
Test Dataset. This file contains an example test dataset where our method can be implemented. This s...
BACKGROUND. Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarr...
<p>data sets = number of data sets in which the regulator shows significant correlation between it...
<p>(a) Unsupervised hierarchical clustering of 355 transcription factor genes included in the 4,358 ...
<p>Graphical representation of the entries a, b, c and d in the 2x2 contingency table on which the c...
<p>The histograms showing the number of up- or down-regulated transcription factors in CT4 (A), CT8 ...
<p>Transcription factors over-represented (normalized enrichment score > 3.5, targeting > 15% of all...
<div><p>High-throughput experiments such as microarrays and deep sequencing provide large scale info...
<p>Description of different regulatory networks of different organisms in terms of size, ubiquity an...
High-throughput experiments such as microarrays and deep sequencing provide large scale information ...
<p>Method: The genes in the “TNFα profile” were used to query to search an interaction database of 2...
<p>For each TF, we computed the fraction of binding sites that enhanced rather than blocked transcri...
Background: Expression profiles obtained from multiple perturbation experiments are increasingly use...
Transcriptional regulation is one of the most important means of gene regulation. Uncovering transcr...
Transcription factors from the network based on statistically validated interactions likely dysfunct...
Test Dataset. This file contains an example test dataset where our method can be implemented. This s...
BACKGROUND. Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarr...
<p>data sets = number of data sets in which the regulator shows significant correlation between it...
<p>(a) Unsupervised hierarchical clustering of 355 transcription factor genes included in the 4,358 ...
<p>Graphical representation of the entries a, b, c and d in the 2x2 contingency table on which the c...
<p>The histograms showing the number of up- or down-regulated transcription factors in CT4 (A), CT8 ...
<p>Transcription factors over-represented (normalized enrichment score > 3.5, targeting > 15% of all...
<div><p>High-throughput experiments such as microarrays and deep sequencing provide large scale info...
<p>Description of different regulatory networks of different organisms in terms of size, ubiquity an...
High-throughput experiments such as microarrays and deep sequencing provide large scale information ...
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