It takes the average reader 4 hours and 24 minutes to read Data Mining in Biomedicine Using Ontologies by Mihail Popescu
Assuming a reading speed of 250 words per minute. Learn more
Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.
Data Mining in Biomedicine Using Ontologies by Mihail Popescu is 262 pages long, and a total of 66,024 words.
This makes it 88% the length of the average book. It also has 81% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours to read Data Mining in Biomedicine Using Ontologies aloud.
Data Mining in Biomedicine Using Ontologies is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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