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We present an approach based on Boolean analysis to reconstruct a set of parsimonious networks from gene disruption and over expression data.
This work proposes a family of greedy algorithms to jointly reconstruct a set of vectors that are (i) nonnegative and (ii) simultaneously sparse with a shared support set.
These were used as input in PhyML [39] to reconstruct a set of maximum likelihood trees by estimating and implementing the GTR + I + G nucleotide substitution model.
On each iteration the algorithm must evaluate how well the given site(s) can reconstruct a set of BSPMs.
The process begins by evaluating how well each of the 192 available recording sites can be used individually to reconstruct a set of BSPMs.
In the previous section, we have seen how to sample and reconstruct a set of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$K$$\end{document} K Diracs.
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We also reconstructed a set of fixed synonymous substitutions for the same set of human genes (Table 1) using multiple alignments of orthologs from humans, chimp and gorilla.
We are interested in reconstructing a set of networks 𝒢(1),…, 𝒢(N ) that are not independent of each other, but are related by a genealogy over their respective host cell-types, thereby constituting a tree evolving network.
To this end, several research groups have recently developed advanced image processing methods, often denoted by super-resolution (SR) techniques, to reconstruct from a set of clinical low-resolution (LR) images, a high-resolution (HR) motion-free volume.
It was not possible to reconstruct a likely set of ancient exons for either of these exon clusters because of the low bootstrap support and posterior probabilities, and because a large proportion of the sequences were rogue taxa (64% and 46%, Ig3 and Ig7 respectively).
The modal properties can be used to reconstruct a complete set of FRFs for the isolator, including FRFs which were not measured directly.
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