Applying convolutional neural networks on derived allele frequency data, leveraging efficient data reuse, and post-processing methods to perform fine-grained detection of selective sweeps.

This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

Benefits Statistical Data Analysis When you perform statistical analysis in Excel, you unlock a powerful tool that can significantly enhance your data analysis capabilities. Excel is not just a ...

Technological developments in data collection and analysis include the use of geographic information systems (GIS) and imagery analysis, crowdsourcing, and mobile technology (see Box 1). These new ...

The Certificate in Data Science provides you with the knowledge to draw conclusions on data reliably and robustly. Courses in Computer Science, Statistics and Management will teach you to implement an ...

ANOVA analysis Experimental blocking Factorial designs Multilinear regression models Response surface methodology Analytical chemistry methods Prerequisites An undergraduate statistics course.

Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding aetiology, providing evidence to confirm and ...

A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their statistical analysis has the potential to change the lives of children and ...