Sentence examples for databases range from inspiring English sources
Databases range from Economics (employment, wages, foreign trade, airline operations, etc.) to Population/Demographics (populations, projections, immigration, mortality, etc.) to Education (enrollment, finances, teacher salaries, etc.) and more (Health and Socioeconomic, Government Finance, Energy and Environment, and Community).
The sizes of these databases range from hundreds to a couple of thousand AMP sequences.
The outputs from these databases range from generic (for example, 'immune response') to specific (for example, 'antigen presentation') biological processes.
In addition, databases range from well-established repositories to burgeoning, innovative resources that cover emerging scientific areas or use novel technologies.
However, the current numbers of recorded human C/D box snoRNAs deposited in several major databases range between 230~460 (Table 4), and at least 270 such predictions are supported by EST evidence (Data not shown).
These databases range from repositories of protein sequences derived from translations of nucleic acid sequences to curated databases that include additional information about proteins that have been validated for expression and/or function (Table 2).
Our results report image searches over databases ranging from thousands to millions of samples.
The system will lead to a broad interconnection of federal databases, ranging from intelligence to law enforcement as well as routine commercial data.
Sequence identity with the top serine proteinases matches from the databases ranged from 23 to 27%, including sequences from insects, mammals, and other nematodes.
The molecular species in the databases ranged widely in terms of molecular size, shape, asymmetry and polarity and, thus, were well suited to test the efficacy of our approach.
We introduce Iterative Regularized Kernel Regression (IRKR), an iterative nonlinear feature selection method combined with a Lasso-regularized version of the original MLKR formulation that improves on the state-of-the-art results on several AU databases, ranging from prototypical to natural and wild data.
