However, many fundamental proteomic data sets remain poorly comprehended, including those built to derive the subcellular localization of proteins.
The mouse resource is the application's fundamental entity and its data set is covered by four sections which are accessed by tabs.
This approximation defines an optimal distributed solution to the frequency-varying data set, where their fundamental properties are based on the interpretation of pre-selected frequencies contained into the eigenvectors of a cross-spectrum matrix.
We have demonstrated elsewhere that there is a strong phylogenetic signal in microsatellite loci conserved in vertebrate genomes (Buschiazzo and Gemmell 2009), therefore our data set could be fundamental for such developments and the characterization of microsatellite birth and death rates.
We want to investigate towards which extent the density-velocity relation found in our data set corresponds to existing fundamental diagram models.
It is in such environments where an initial step of noise filtering and reduction of data set size plays a fundamental role.
Therefore, the principle advantage of PLS for a problem of this type is its ability to handle a very large number of features: a fundamental problem of a feature-rich/case-poor data set.
Weidmann's equation relies on fitting the fundamental diagram's analytical function to the recorded data set.
The observation of impaired α-particle formation in db/db mice is statistically valid in the data set given here, which has fundamental physiological implications in glycogen biosynthesis/degradation cycles.
The resulting data set together with mechanistic insights drawn from fundamental surface studies are used to assess various semi-global kinetic models.
