Read e-book online A data-analytic strategy for protein biomarker discovery PDF

By Yasui Y.

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Extra info for A data-analytic strategy for protein biomarker discovery profiling of high-dimensional proteomic dat

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In the development of application programs, a relational language normally needs as a partner a host language such as COBOL, PL/1, FORTRAN, or some more recently developed programming language. Some relational DBMS support several such host languages to be used as partners, although the user is normally required to select just one for developing an application program. In this book I occasionally use the term "HL" (for "host language") to denote such a language. Languages are being developed that are significantly higher in level than COBOL, PL/1, and FORTRAN; such languages frequently include statements that must be translated into RE.

The logic that is usually encountered in data processing is propositional logic, often called Boolean logic, which deals with only two truth-values: T R U E and FALSE. In the field of database management, one reason that propositional logic was considered adequate in the past is that, before the relational model, logic was considered relevant to query products only, and such products normally supported the use of logic in the querying of single files only. Two truth values were considered adequate because no attempt was made to handle missing values in a uniform and systematic manner across the entire database.

This language was invented by Held and Stonebraker at the University of California, Berkeley, and was based on the language ALPHA [Codd 1972]. More attention is devoted to SQL, however, because it has been adopted as an ANSI standard, and is supported in numerous DBMS products. 8 An Abstract Machine Standard The computing field clearly needs an abstract machine standard for database management for at least the following reasons: • The intrinsic importance of computer-based support for the sharing of business information interactively and by program.

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A data-analytic strategy for protein biomarker discovery profiling of high-dimensional proteomic dat by Yasui Y.

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