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For each atom, the sparse coefficient is calculated by an existing ℓ 1-min algorithm, which obtains a number of sparse coefficient vectors equivalent to the total number of atoms.
The results reported in this paper are consistent with a number of sparse results and provide a rationale for observations such as that hyperglycemia inhibits hypoxia-induced stabilization of HIF-1α.
For example, if we have data from different cohorts, we could consider combining a number of sparse predictors, each estimated using the data from a single cohort, and then learn the combination weights using a few individuals from the target cohort.
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As we described earlier, a number of group sparse reconstruction algorithms can solve the above ℓ 1-norm minimization problem.
A number of group sparse reconstruction algorithms, such as group LASSO (gLasso) [12], block orthogonal matching pursuit (BOMP) [13], and multitask Bayesian compressive sensing (MT-BCS) [14] algorithms, have been developed for this purpose.
More specifically, areas of a lower type appeared to possess a larger number of sparse and intermediate projections added to a backbone of dense connections which remains uniform across areas of all structural types (Fig. 8).
It is necessary to research how to generate in a reasonable time frame a large number of sparse random graphs with prescribed numbers of connected components, and with the appropriate distribution of node degree, to substitute for real-world power grid topologies.
In general, the proposed DSCRG is a preferable algorithm that is capable of quickly generating a large number of sparse random graphs with prescribed numbers of connected components and the appropriate degree distribution to substitute for real-world power grid topologies.
First, a great number of sparse recovery algorithms have already been proposed in the past few decades, each designed for a specific formulation.
There have been a number of studies on sparse signal recovery from one-bit quantized measurements.
The protein was screened at a concentration of 9.2 mg/mL using the vapor-diffusion method against a number of commercially available sparse matrix screens, including JCSG+ Suite and JCSG Cores I IV Suite (Qiagen, Germantown, MD).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com