Microarray experiments are widely used to quantify and compare gene expression on a large scale, it is therefore important that they are designed with care as aspects of their design will affect ...

This how-to workshop focuses on understanding the fundamental elements of experimental design and how to apply experimental design to solve real problems. A statistical software package, Minitab®, is ...

Design of experiments (DoE) is one of the most important techniques for systematic planning, execution and statistical evaluation of experiments. Although a DoE investigation is executable in one ...

His research in materials informatics uses machine learning and high-throughput experimentation to uncover hidden patterns and design principles, transforming how functional materials—such as ...

In general, modeling data from blocked and split-plot response surface experiments requires the use of generalized least squares and the estimation of two variance components. The literature on the ...

For purposes of learning, using, or teaching a design of experiments (DOE), one can argue that an eight-run array is the most practical and universally applicable array that can be chosen. There ...

Unlike other pieces of lab equipment, a robotic system created by scientists from Aberystwyth University and the University of Cambridge can design and perform new experiments on its own. In a ...

I don't want to push my opinion too much about Cathy Davidson's grading experiments at Duke. Not that I don't have opinions, it's just that I don't have any better answers than everyone who commented ...

NASA is calling on middle and high school students to join the second NASA TechRise Student Challenge, which invites student teams to develop, build, and launch science and technology experiments ...

Two experiments were conducted using Sandia National Laboratories’ Z-Pinch Machine, which is the world’s largest operational pulse power machine, to demonstrate the process of compressing a ...