Sentence examples for Artificial database from inspiring English sources

And we designed and used an "artificial" database for database searching.

Indeed, it has been reported that isotope ratio filtering is key to reducing the number of candidate molecular formulae when searching an artificial database [17].

BLAST search was then used to map the 16S rRNA genes to the artificial database which contained the complete DNA cohort of these 64 taxa.

Then, for a real given SNP we performed a test to check if its values (mean and coefficient of variation) could occur and how many times in the artificial database following its random generation.

The creation of the artificial database (set B) of the profile vectors and the search procedure is summarized in the following steps: Step 1. Random set R of 5000 n-dimensional expression profiles was generated.

We created three large artificial databases with 20 fold, 10 fold and 6 fold replication of subjects, where we generated dichotomous outcomes according to different underlying models.

Different areas of computer science (e.g., artificial intelligence, database integration, and visualization) are also being recruited to advance this vision.

Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases.

Guidelines for resolution and a computer software programme - AIDA (Artificial Insemination Database Application) - were provided to identify and resolve constraints to effective services.

The development and analysis of algorithms is fundamental to all aspects of computer science: artificial intelligence, databases, graphics, networking, operating systems, security, and so on.

It brings together specialists in fields such as artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, human-computer interaction, natural language processing, and the social sciences.