<p>(A) Mutual information values for any pairs of probe sets on Chr19. The middle point of each probe set identifies its position along the chromosome. The gray stripes correspond to the centromere. (B) Histograms of values of mutual information for pairs of probe sets located at various intervals of their genomic separation. The black lines correspond to fitting the histograms with the theoretical (null case) MI distribution <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003019#pcbi.1003019-Goebel1" target="_blank">[36]</a>. The vertical black dashed lines correspond to the estimated threshold values (see next and main text). (C) Example of E-value (expected number of false positives) distribution for probe set...
We present a new software implementation to more efficiently com-pute the mutual information for all...
<p>The genes were divided into five bins according to their methylation levels, and then the average...
Mutual information (MI), a quantity describing the nonlinear dependence between two random variables...
This thesis develops a new exploratory approach suitable for application to large high-dimensional d...
of understanding and quantifying the representation and amount of information in organisms have beco...
<p>A) C and C-motifs. B–F) Data points for coregulated gene pairs in C and C-motifs are plotted in r...
V, D, and J segment choice, numbers of bases deleted from the 3’ end of the V-gene (delV), the 5′ en...
Motivation: Clustering co-expressed genes usually requires the definition of `distance' or `similari...
Questions of understanding and quantifying the representation and amount of information in organisms...
Motivation: Clustering co-expressed genes usually requires the definition of `distance' or `similari...
Recent methods to infer genetic networks are based on identifying gene interactions by similarities ...
Questions of understanding and quantifying the representation and amount of information in organisms...
As genomes of related species diverge through rearrangement mutations, groups of genes once tightly ...
Recent methods to infer genetic networks are based on identifying gene interactions by similarities ...
With an abundance of data resulting from high-throughput technologies, like DNA microarrays, a race ...
We present a new software implementation to more efficiently com-pute the mutual information for all...
<p>The genes were divided into five bins according to their methylation levels, and then the average...
Mutual information (MI), a quantity describing the nonlinear dependence between two random variables...
This thesis develops a new exploratory approach suitable for application to large high-dimensional d...
of understanding and quantifying the representation and amount of information in organisms have beco...
<p>A) C and C-motifs. B–F) Data points for coregulated gene pairs in C and C-motifs are plotted in r...
V, D, and J segment choice, numbers of bases deleted from the 3’ end of the V-gene (delV), the 5′ en...
Motivation: Clustering co-expressed genes usually requires the definition of `distance' or `similari...
Questions of understanding and quantifying the representation and amount of information in organisms...
Motivation: Clustering co-expressed genes usually requires the definition of `distance' or `similari...
Recent methods to infer genetic networks are based on identifying gene interactions by similarities ...
Questions of understanding and quantifying the representation and amount of information in organisms...
As genomes of related species diverge through rearrangement mutations, groups of genes once tightly ...
Recent methods to infer genetic networks are based on identifying gene interactions by similarities ...
With an abundance of data resulting from high-throughput technologies, like DNA microarrays, a race ...
We present a new software implementation to more efficiently com-pute the mutual information for all...
<p>The genes were divided into five bins according to their methylation levels, and then the average...
Mutual information (MI), a quantity describing the nonlinear dependence between two random variables...