Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

Quantitative polymerase chain reaction (qPCR) is a molecular technique that has reshaped the landscape of biological research and medicine due to its high sensitivity and specificity. qPCR, also known ...

As the complexity of integrated circuit (IC) designs continues to rise, the task of verifying these designs has become increasingly challenging. The pace of this growth is staggering, with design ...

Synthesis and triangulation among multiple sources of information and multiple types of methods can strengthen the quality and credibility of the evidentiary support for findings and recommendations, ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...