Final answer:
To analyze data in a database with online analytical processing, the SELECT SQL statement is commonly used, often in combination with functions and clauses like SUM, AVG, COUNT, and GROUP BY for deeper analysis.
Step-by-step explanation:
To perform online analytical processing (OLAP) on the data in a database, the SQL statement that may be used is SELECT. This SQL command allows for the retrieval of specified data, which can then be used for various analyses. For more complex analyses, such as those needed in data research or in silico research, SQL statements can be combined with aggregate functions like SUM, AVG, COUNT, etc., and joins over multiple tables to permit deeper insights into the data set. To facilitate the analysis of variance, for instance, the GROUP BY clause may be employed alongside aggregate functions to perform operations akin to one-way ANOVA testing.
Additionally, the expanding field of data research emphasizes the value of computer algorithms and statistical analyses, highlighting promising career opportunities for professionals with expertise in biology and computer science. Data-driven approaches such as decision-tree classifiers, or even more sophisticated methodologies involving conditional probability tables and Bayesian Networks (BN), may be applied for refined data investigation and inference making.