Sentence examples for database algorithm from inspiring English sources

Exact(13)

TDRMs were defined according to the Stanford HIV database algorithm.

Moreover, through a parametric study it is demonstrated that using 1D array sensor configuration and reference database algorithm, two FBG sensors covering 4.2 m × 0.6 m wing area can approximate the impact location with maximum localization error limited to about 35.0 mm, which is as effective as using 1D array configuration with six FBG sensors.

Sequence data were aligned to the most similar sequence using the BLAST database algorithm [100], and then further analysed with the ARB software package [102].

We characterize how the addition of low-level DRMs affects the resistance burden in antiretroviral-experienced subjects using the Stanford HIV drug resistance database algorithm and describe the relationship of the low-abundance DRMs to subjects' failing antiretroviral drugs and their longitudinal antiretroviral histories.

A validated database algorithm would be convenient and efficient for researchers and administrators.

Codes of our primary database algorithm were finalized after testing several codes alone or in combination (described below).

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Similar(47)

Searches can be done using the BLASTP (protein against protein database) or BLASTN (nucleotides against nucleotide database) algorithms.

LC/MS MS and protein network database algorithms were used to evaluate the proteomic profiles characterizing the pathological changes in this group of high risk women.

One aspect of the plan involves mining a huge amount of available data on mental disorders from public hospitals as well as pharmaceutical company databases; algorithms will then isolate revealing patterns and connections.

Mediator-lipidomics databases, algorithms, and software for identification of novel lipid mediators via LC-UV-MS3.

Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data.

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