Here we present a sample workflow for analyzing assay-endpoint readouts from high-throughput RNAi screening data with guidance on choice and application of relevant statistical methods.

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 ...

The stylo-statistical approach to literary analysis provides scholars with a method for extracting pertinent data of manageable size from the overall mass of data provided by the computer in the ...

New statistical method eases data reproducibility crisis The new tool enhances the replicability of large genomic datasets Date: March 30, 2021 Source: Penn State Summary: A reproducibility crisis ...

MIST.7370 — Graduate Id: 038569 Offering: 1 Credits: 3-3 Description This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying ...

Historically, statistical methods have not been employed to full advantage in plant paleoecology. This is in part because some of the most useful methods can be found only in the technical statistical ...

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...